399 Spectroscopy Jobs - Page 6

Job Summary The Lab Technician (B.Pharma) in the Pharmacy Department is responsible for supporting laboratory operations, conducting experiments, and assisting in research and development activities related to pharmaceutical sciences. The role requires expertise in Chemistry and Pharmaceutics to ensure high-quality analysis, formulation, and testing of pharmaceutical products. Key Responsibilities Conduct laboratory experiments related to drug formulation, stability testing, and quality control under the supervision of senior pharmacists or researchers. Prepare and analyze chemical solutions, reagents, and pharmaceutical compounds with precision. Perform analytical tests using techniques such as HPLC, UV spectroscopy, and titration to evaluate drug composition and purity. Assist in the development and optimization of pharmaceutical formulations, ensuring compliance with regulatory standards. Maintain and calibrate laboratory equipment, including spectrophotometers, pH meters, and dissolution apparatus. Document experimental procedures, results, and observations in detailed reports for regulatory and research purposes. Ensure compliance with Good Laboratory Practices (GLP) and safety protocols in all laboratory activities. Collaborate with the pharmacy team to troubleshoot formulation issues and improve product stability. Manage inventory of chemicals, reagents, and laboratory supplies, ensuring timely restocking. Support faculty or senior staff in academic or industrial research projects related to pharmaceutics and chemistry. Qualifications and Skills Education : Bachelor of Pharmacy (B.Pharma) or D.Pharma from a recognized institution. Experience : Minimum of 1-2 years of hands-on experience in a pharmaceutical laboratory with a focus on Chemistry and Pharmaceutics. worked in any recognized university as Lab Technician is a plus point. Technical Skills : Proficiency in analytical techniques such as HPLC, GC, and UV-Vis spectroscopy. Knowledge of pharmaceutical formulation techniques, including tablet compression, capsule filling, and emulsion preparation. Familiarity with pharmacopoeial standards (e.g., IP, USP, BP). Soft Skills : Strong analytical and problem-solving skills. Attention to detail and accuracy in experimental work. Effective communication and teamwork abilities. Job Types: Full-time, Permanent Pay: ₹18,000.00 - ₹25,000.00 per month Application Question(s): What is Your Current CTC? How Many Days Notice Period you have? How Many Years of Experience you have in related Field? Education: Bachelor's (Preferred) Experience: Lab Technician: 2 years (Preferred) Location: Budhera, Gurugram, Haryana (Preferred) Work Location: In person Application Deadline: 25/08/2025 Expected Start Date: 20/08/2025

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. Process Development Scientist II POSITION PURPOSE: The Process Development Scientist-II with some supervision from the Chemical Development Lead focuses on the route scouting and Chemical Process Development of Bayers' existing and pipeline crop protective agents. Collaborates with all internal and external functional teams. The job holders ensure all the experimental work is done following the highest safety standards and document the generated data in the Electronic Lab Notebook. The applicant will have an excellent practical and theoretical understanding of synthetic organic chemistry or a relevant technology and can design and execute high-quality, thoughtful experimentation while making significant contributions both independently and as a member of a team. The candidate will work within an interdisciplinary and cross-divisional team in the Crop Protection Innovation organization. TASKS AND RESPONSIBILITIES: Conduct process chemistry research as an individual contributor, which includes, but is not limited to, research on inventing new synthetic routes and associated manufacturing processes that turn the molecules into agrochemical solutions. He/she also needs to mentor a small group/team of people. Conduct experiments for route scouting, process optimization, safety evaluation, high throughput screening and chemo/biocatalytic reaction discovery and optimization. Invent synthetic routes and develop safe, robust, and cost-effective processes to manufacture Crop Protection Agents developing the synthetic routes Contribute to the Chemical Development Process by conducting laboratory experiments by own hand and providing experimental results, technical updates, documentation, data interpretation, recommendations for process optimization, etc. With the help of the Process Engineer optimize unit operations Investigate optimization, generate safety and process engineering data required for scale-up of chemical reactions This is a highly practical role where you will be working in the R&D laboratories to generate new synthetic routes and assist in the design, planning and execution of multi-step experimental studies guided by risk assessment to deliver safe, efficient, robust manufacturing processes. Collaborate within project teams by working closely with analytical chemists, process engineers, pilot plant team and project managers within the Crop Protection Innovation organization. Staying up to date with the latest advancements in chemistry and technologies. Find opportunities to use these technologies in solving process development challenges Follow all company, site and laboratory Environmental, Health and Safety (EHS)-related protocols, processes, guidelines and SOPs. Actively participate in EHS discussions with peers and management for continuous improvement of EHS practices. KEY WORKING RELATIONS: Internal Crop Protection Innovation Team Analytical Chemist from Pilot Plant Team AIM Production Team AIM Analytical team at Vapi External Coordinate with various vendors and engineers for instrument installation/maintenance activities WHO YOU ARE: M.Sc./M. Pharm in Organic Chemistry with more than 12 years’ experience or PhD or Postdoc in Organic Chemistry with more than 4 years of experience in designing and performing experiments in a laboratory setting to meet project timelines and objectives. Experience in independent planning and execution of experiments for multistep synthesis of complex organic molecules. Experience in independent interpretation of data from experiments and using it to make conclusions/decisions regarding the direction of future experimentation Comprehensive and state-of-the-art knowledge of modern synthetic methodologies as well as a basic understanding of organic reaction mechanisms and retrosynthesis. Strong understanding of small molecule analysis including chromatographic and spectroscopic techniques and structure elucidation by NMR and Mass Spectroscopy is required Embraces ambitious goals and drives progress with urgency. Consistently seeking opportunities to acquire knowledge, develop skills, and share insights. Possesses a strong willingness to learn and grow through challenging experiences, actively engaging in giving and receiving constructive feedback to foster continuous improvement. Effectively interacts with diverse teams across functions, cultivating strong working relationships with both internal and external collaborators to enhance overall performance Ability to work in the shifts Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work— for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext. Please don’t rely upon any unsolicited email from email addresses not ending with domain name “bayer.com” or job advertisements referring you to an email address that does not end with “bayer.com”. YOUR APPLICATION Bayer is an equal opportunity employer that strongly values fairness and respect at work. We welcome applications from all individuals, regardless of race, religion, gender, age, physical characteristics, disability, sexual orientation etc. We are committed to treating all applicants fairly and avoiding discrimination. Location: India : Gujarat : Vapi Division: Crop Science Reference Code: 851312 Contact Us + 022-25311234

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. Process Development Scientist I POSITION PURPOSE: The Process Development Scientist-II with some supervision from the Chemical Development Lead focuses on the route scouting and Chemical Process Development of Bayers' existing and pipeline crop protective agents. Collaborates with all internal and external functional teams. The job holders ensure all the experimental work is done following the highest safety standards and document the generated data in the Electronic Lab Note Book. The successful candidate will work within an interdisciplinary and cross-divisional team in the Crop Protection Innovation organization. TASKS AND RESPONSIBILITIES: Conduct process chemistry research as an individual contributor, which includes, but is not limited to, research on inventing new synthetic routes to agrochemicals by route scouting, process optimization, safety evaluation, high throughput screening and chemo/biocatalytic reaction discovery and optimization. Invent synthetic routes and develop safe, robust, and cost-effective processes to manufacture Crop Protection Agents Contribute to the Chemical Development Process by conducting laboratory experiments by own hands and providing experimental results, technical updates, documentation, data interpretation, recommendations for process optimization, etc. With the help of the Process Engineer optimize unit operations Investigate optimization, generate safety and process engineering data required for scale-up of chemical reactions Assist in the design, planning and execution of multi-step experimental studies guided by risk assessment to deliver safe, efficient, robust manufacturing processes. Collaborate within project teams by working closely with analytical chemists, process engineers, pilot plant team and project managers within the Crop Protection Innovation organization. Support Chemical Development Lead in preparation of SOPs, and other relevant documents (e.g. Technical Reports, Presentations, Technology Dossier). Work independently or in a team in advancing projects and studies within required timelines Follow all company, site and laboratory Environmental, Health and Safety (EHS)-related protocols, processes, guidelines and SOPs. Actively participate in EHS discussions with peers and management for continuous improvement of EHS practices. KEY WORKING RELATIONS: Internal Crop Protection Innovation Team Analytical Chemist from Pilot Plant Team AIM Production Team AIM Analytical team at Vapi External Coordinate with various vendors and engineers for instrument installation/maintenance activities WHO YOU ARE: Msc/M Pharm in Organic Chemistry with more than 8 years' experience or Fresh PhD or Postdoc in Organic Chemistry in designing and performing experiments in a laboratory setting to meet project timelines and objectives. Experience in independent planning and execution of experiments for multistep synthesis of complex organic molecules. Experience in independent interpretation of data from experiments and using it to make conclusions/decisions regarding the direction of future experimentation Comprehensive and state-of-the-art knowledge of modern synthetic methodologies as well as a basic understanding of organic reaction mechanisms and retrosynthesis. Strong understanding of small molecule analysis including chromatographic and spectroscopic techniques and structure elucidation by NMR and Mass Spectroscopy is required Embraces ambitious goals and drives progress with urgency. Consistently seeking opportunities to acquire knowledge, develop skills, and share insights. Possesses a strong willingness to learn and grow through challenging experiences, actively engaging in giving and receiving constructive feedback to foster continuous improvement. Effectively interacts with diverse teams across functions, cultivating strong working relationships with both internal and external collaborators to enhance overall performance Ability to work in the shifts Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work— for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext. Please don’t rely upon any unsolicited email from email addresses not ending with domain name “bayer.com” or job advertisements referring you to an email address that does not end with “bayer.com”. YOUR APPLICATION Bayer is an equal opportunity employer that strongly values fairness and respect at work. We welcome applications from all individuals, regardless of race, religion, gender, age, physical characteristics, disability, sexual orientation etc. We are committed to treating all applicants fairly and avoiding discrimination. Location: India : Gujarat : Vapi Division: Crop Science Reference Code: 851328 Contact Us + 022-25311234

Job description: We are looking for a dedicated, analytical chemist to be responsible for studying the chemical make-up of materials that are essential in manufacturing business to ensure product safety. The chemist's responsibilities include preparing test solutions, analyzing organic and inorganic compounds, and conducting quality control tests. The Chemist will conduct research and explore how products, processes, and equipment may be improved. To be a successful chemist, you should be analytical, detail oriented, and logical. You should be dedicated to furthering scientific knowledge and improving processes and products. Chemist from mineral industry is preferred Chemist Responsibilities: · Preparing test solutions, compounds, and reagents for conducting tests and advising and coordinating test procedures. · Determining chemical and physical properties, compositions, structures, relationships, and reactions of organic and inorganic compounds. · Using chromatography, spectroscopy, and spectrophotometry techniques. · Developing, improving, and customizing products, equipment, formulas, processes, and analytical methods. · Conferring with scientists and engineers to analyze, interpret, and develop tests. · Introducing heat, light, energy, and chemical catalysts to chemical substances to induce reactions. · Writing technical papers and reports, and preparing standards and specifications for processes, tests, and products. · Maintaining laboratory instruments, troubleshooting malfunctions, and purchasing new laboratory supplies. · Evaluating and ensuring compliance with laboratory safety procedures and standards. Chemist Requirements: · A bachelor's degree in chemistry or related field, with further education being advantageous. · Experience in scientific research and laboratory work may be advantageous. · Proficiency with computers and scientific equipment. · Strong problem-solving, critical thinking, and analytical skills. · Good presentation, documentation, and reporting skills. · Good verbal and written communication skills. Website : http://www.jaigroup.com/ Job Type: Full-time Pay: ₹10,000.00 - ₹12,000.00 per month Benefits: Provident Fund Education: Bachelor's (Preferred) Experience: Mineral Industry: 1 year (Preferred) Work Location: In person

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 1481 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BatlabsAI) What do you need for this opportunity? Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScript BatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform) Company: Batlabs AI Location: Remote Type: Full-time, Permanent About Batlabs AI Batlabs AI is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We're a pre- seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You'll Own Design and ship an intuitive, AI native platform that: Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedback What You Will Do Frontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizing usability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI- assisted editing capabilities Ensure smooth user experience across complex scientific data workflows Backend Development Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure Design and maintain PostgreSQL schemas alongside vector database implementations Implement data migration strategies and efficient data loading processes Deploy and maintain cloud infrastructure with monitoring and logging systems Prepare for future model fine-tuning implementations Must-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsive interfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset: bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging Model fine-tuning experience with various ML frameworks Knowledge of embeddings and semantic search implementations Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture Speed and adaptability – we pivot quickly based on user needs and market feedback User-centric approach – scientists' needs drive our technical decisions Radical transparency – open communication about roadmap, challenges, and metrics Growth mindset – continuous learning through candid feedback and experimentation Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? Foundational role – shape architecture, technology choices, and company culture as our second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, and scientific computing Flexibility – fully remote work environment with focus on results over hours The role demands technical excellence across the full stack, with particular emphasis on AI orchestration and user experience design. You'll need to balance rapid iteration with building robust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries? How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!