338 Ai Solutions Jobs - Page 12

We are seeking a skilled and detail-oriented Zoho Automation Developer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions using the Zoho suite (primarily Zoho CRM, Creator, Flow, and Deluge scripting). If you are passionate about process optimization and building scalable workflows, wed love to meet you. Role & responsibilities Develop and customize Zoho applications (CRM, Project, Recruit, Books, People, etc.) based on business requirements. Automate workflows using Zoho Flow, Deluge scripts , custom functions, and APIs. Integrate Zoho with third-party applications (e.g., Gmail, etc.). Design and implement dashboards and reports for performance tracking. Collaborate with cross-functional teams (sales, support, finance) to optimize business processes. Troubleshoot and resolve issues related to Zoho implementations. Stay up to date with new Zoho features, tools, and best practices. Key Requirements: Proven experience with Zoho One suite (Project, Recruit, Books, People, CRM etc.) Strong hands-on experience with Deluge scripting and Zoho APIs Ability to design custom modules and functions within Zoho Familiarity with data migration, integration, and system architecture Experience with third-party integrations and REST APIs Excellent analytical and problem-solving skills Strong communication and documentation skills Preferred candidate profile Zoho certification(s) is a plus Experience in workflow automation for sales, HR, or finance processes Familiarity with tools like, Zapier, or similar platforms Bachelors degree in Computer Science, IT, or related field Perks & Benefits: Primarily Remote Work from anywhere. Diverse Experience Collaborate with national and international clients Growth-Oriented Fast-paced environment with real ownership Cross-Functional Exposure – Work closely with Product, Sales, HR, and Tech teams Learning Culture – Constant learning via live projects and upskilling support

Role: Gen AI Architect Experience: 10+Yrs Locations: multiple Locations Role & responsibilities Bachelors or master's in computer science, Computational Linguistics, Data Science, or a related field. 3+ years of experience in NLP, machine learning, or AI-related roles. Overall 12+ years of experience. Experience with large language models (e.g., GPT-3, GPT-4, BERT) and prompt engineering. Experience in API integration and application development Familiarity with cloud platforms (Azure, AWS, Google Cloud) and machine learning frameworks (TensorFlow, PyTorch). Expertise in Python development along with AI tools is a must. Should have worked on all the python libraries relevant to AI Complete knowledge on using Open AI and implementation basis the OpenAI libraries is essential. Design and develop algorithms for generative models using deep learning techniques. Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. Experience working and implementing solutions using Agentic AI is definitely a plus. Research and stay up to date on the latest advancements in generative AI technologies and methodologies. Optimize and fine-tune generative models for performance and efficiency. Troubleshoot and resolve issues related to generative AI models and implementations. Create and maintain documentation for generative AI models and their applications. Communicate complex technical concepts and findings to non-technical stakeholders. Need to interact with Guidewire developers to integrate the solution with Guidewire. Knowledge on Insurance products such as Guidewire, Duck Creek, Majesco will be an added advantage. Familiarity with RPA tools (UiPath, Automation Anywhere) is a plus. Strong problem-solving and analytical skills, with the ability to work collaboratively in cross-functional teams.

About Accenture:Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries,we offer Strategy and Consulting,Technology and Operations Services, and Accenture Song - all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us atwww.accenture.comResponsibilities/AuthoritiesA Telco domain experienced and data science analyst/consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders – Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements – and be able to inform the best approach to the problem Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints Storytelling – Crunch the data & numbers to craft a story to be presented to senior client stakeholders Should be able to travel or relocate to Japan as per business requirementJOB REQUIREMENTS – Overall Experience Industry experience in Telecom JLPT N2/N3/N4 Japanese language certification is a must Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Relevant experience of 7+ years for Consultant role Demonstrated experience in solving real-world data problems through Data & AI Qualifications Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Communications & Media - AI & Data Architectures Title :- Ind & Func AI Value Strategy Manager Job location :- Bangalore, Hyderabad About S&C - Global Network:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. Youll work with Accenture's highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You'll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organizations ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Qualifications Who we are looking for? Bachelors or advanced degree in Computer Science, Data Science, or a related field. Over 12 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Demonstrable hands-on experience in designing & flawlessly operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Extensive experience in implementing Generative AI solutions, including incubation, design, and deployment. Strong proficiency in deep learning frameworks such as TensorFlow and PyTorch. In-depth knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with API , Integration architecture , microservices If you are a visionary Machine Learning Architect with a passion for advancing ML maturity, implementing cutting-edge Gen AI solutions, and driving innovation, we invite you to apply and contribute to our organizations success. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

About Evernorth: Evernorth Health Services, a division of The Cigna Group (NYSECI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Role Title: Software Engineering Senior Analyst Position Summary: The AI CoE team is seeking Gen AI Fullstack Software Engineers to work on the AI ecosystem. The GenAI Fullstack Engineer will be responsible for designing, implementing, and deploying scalable and efficient AI solutions with a focus on privacy, security, and fairness. Key components include Angular and React JS based user interfaces, a robust set of Application Programming Interfaces (APIs) enabling a wide range of platform integration capabilities, a flexible Machine Learning (ML) document processing pipeline and integration with various Robotic Process Automation (RPA) platforms. This role will work directly with business partners and other IT team members to understand desired system requirements and to deliver effective solutions within the Agile methodology and participate in all phases of the development and system support life cycle. Primary responsibilities are to build an AI Platform(s) leveraging the LLM’s and other Gen AI Capabilities and provide design solution for portal integrations, enhancement, and automation requests. The ideal candidate is a technologist that brings a fresh perspective and passion to solve complex functional and technical challenges in a fast-paced and team-oriented environment. Full stack development including triage, design, coding and implementation. Build enterprise grade AI solutions with focus on privacy, security, fairness. Perform code reviews with scrum teams to approve for Production deployment. Conduct research to identify new solutions and methods to fulfill diverse and evolving business needs Establish/Improve/Maintain Proactive monitoring and management of supported assets assuring performance, availability, security, and capacity Maintains a strong and collaborative relationship with delivery partners and business stakeholders. Experience Required: This position requires a highly technical, hands-on, motivated and collaborative individual with exceptional communication skills, proven experience working with diverse teams of technical architects, business users and IT areas on all phases of the software development life-cycle 4+ years of total experience. 3+ years of experience in Fullstack development (Frontend, Backend and Cloud) 1+ years experience in DevOps. 1+ year in developing Gen AI Solutions and its integration with other systems. Experience Desired: ### Front-End Development Skills 1. HTML/CSS/JavaScriptProficiency in the core technologies for building web interfaces. 2. Front-End FrameworksKnowledge of frameworks like React, Angular, or Vue.js for creating interactive and responsive user interfaces. 3. UI/UX DesignBasic understanding of user experience and user interface design principles. ### Back-End Development Skills 1. Server-Side LanguagesProficiency in server-side languages such as Python, Node.js. 2. APIsExperience in building and consuming RESTful, Flask / Fast API / GraphQL APIs. 3. Database ManagementKnowledge of SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, etc. ### DevOps and Cloud Skills 1. Containerization and OrchestrationExperience with Docker and Kubernetes / OpenShift for containerization and orchestration of applications. 2. CI/CD PipelinesKnowledge of continuous integration and continuous deployment tools and practices. 3. Security Best Practicesunderstanding of security principles and best practices for protecting data and systems, including IAM, encryption and network Security. 4. Cloud ServicesFamiliarity with cloud platforms like AWS, Google Cloud, or Azure for deploying and managing applications and AI models. ### AI and Machine Learning Skills (Good to have) 1. Foundations in Machine Learning and Deep LearningUnderstanding algorithms, neural networks, supervised and unsupervised learning, and deep learning frameworks like TensorFlow, PyTorch, and Keras. 2. Generative ModelsKnowledge of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. 3. Natural Language Processing (NLP)Knowledge in NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face Transformers) for text generation tasks. 4. Model DeploymentExperience with deploying models using services like TensorFlow Serving, TorchServe, or cloud-based solutions (e.g., AWS SageMaker, Google AI Platform). 5. Basic understanding of implementing Prompt Engineering, Finetuning and RAG. ### Additional Skills 1. Version ControlProficiency with Git and version control workflows. 2. Software Development PracticesUnderstanding of agile methodologies, testing, and code review practices. Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required. Equal Opportunity Statement: Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

and The ideal candidate will lead AI innovation, optimize AI models for clinical decision support, medical imaging, patient engagement, and enterprise process automation. Key Responsibilities 1. Develop and deploy AI/ML solutions with a focus on healthcare AI (clinical NLP, radiology AI, predictive analytics) and enterprise AI (automation, intelligent chatbots, document processing, and knowledge management). 2. Fine-tune and optimize LLMs (GPT-4, Med-PaLM, Gemini, LLaMA, Claude) for medical and enterprise applications. 3. Implement Retrieval-Augmented Generation (RAG) to enhance AI-driven decision-making in healthcare diagnostics, patient interaction, and enterprise knowledge management. 4. Build and integrate AI-powered chatbots, virtual health assistants, and AI co-pilots to improve patient engagement and enterprise workflows. 5. Utilize vector databases (FAISS, Pinecone, Weaviate) for AI-driven clinical data retrieval and enterprise document search. 6. Deploy AI solutions using cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI, Hugging Face Hub) and MLOps pipelines for scalability. 7. Ensure AI solutions comply with healthcare regulations (HIPAA, GDPR, FDA AI/ML regulations) and enterprise security policies. 8. Collaborate with healthcare professionals, enterprise teams, and engineers to align AI solutions with business and medical needs. 9. Stay ahead of advancements in explainable AI (XAI), AI ethics, bias mitigation, and regulatory compliance. Required Skills & Experience 1. Exp. in AI/ML development, with expertise in GenAI, LLMs, and applied AI for Healthcare & Enterprise AI. 2. Strong proficiency in Python and frameworks such as Hugging Face Transformers, LangChain, LlamaIndex, PyTorch, TensorFlow, or JAX. 3. Hands-on experience with LLM fine-tuning, prompt engineering, and model optimization for healthcare diagnostics, medical text processing, and enterprise automation. 4. Experience in healthcare NLP (de-identification, medical summarization, clinical decision support) and enterprise AI (workflow automation, document intelligence, AI-powered search & knowledge retrieval). 5. Proficiency in MLOps, cloud AI services (AWS, GCP, Azure), and deploying AI models at scale. 6. Understanding of multi-modal AI (text, vision, audio) for medical imaging, voice AI for telemedicine, and AI-powered enterprise solutions. 7. Ability to lead AI teams, manage AI projects, and drive AI innovation for business impact. Nice to Have Experience with biomedical AI (e.g., Med-PaLM, BioGPT), federated learning for healthcare data privacy, and AI for clinical trials. Knowledge of AI compliance frameworks (FDAs Good Machine Learning Practice, AI risk management for enterprises). Familiarity with AutoML and low-code AI for rapid prototyping in enterprise AI. Contributions to open-source healthcare AI projects or AI research publications. Company overview: smartData is a leader in global software business space when it comes to business consulting and technology integrations making business easier, accessible, secure and meaningful for its target segment of startups to small & medium enterprises. As your technology partner, we provide both domain and technology consulting and our inhouse products and our unique productized service approach hehelplps us to act as business integrators saving substantial time to market for our esteemed customers. With 8000+ projects, vast experience of 20+ years, backed by offices in the US, Australia, and India, providing next door assistance and round-the-clock connectivity, we ensure continual business growth for all our customers. Our business consulting and integrator services via software solutions focus on important industries of healthcare, B2B, B2C, & B2B2C platforms, online delivery services, video platform services, and IT services. Strong expertise in Microsoft, LAMP stack, MEAN/MERN stack with mobility first approach via native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, PhoneGap) mobility stack mixed with AI & ML help us to deliver on the ongoing needs of customers continuously. For more information, visit https://www.smartdatainc.com Please share your updated CV on deepti.vyas@smartdatainc.net or call on 9664338930

We seek an innovative professional with expertise in AI tools like Copilot to boost engineering productivity. The role involves identifying bottlenecks, proposing tailored GenAI solutions, and integrating them into networking product development to streamline workflows and drive AI adoption across teams. Technologies: ------------------- GenAI Algorithms, LLM's, NLP, Hugging Face, RAG, OpenAI models, Microsoft and GitHub Copilot, Agentic AI, AI-powered tools, Advanced python for Datascience, Flash , REST API, debugging tools, parser tools, troubleshooting and investigating capabilities. Required Qualifications: ------------------------ 2+ years using GitHub Copilot, OpenAI, and other AI coding tools to boost development productivity. 2+ years in GenAImodel design, fine-tuning, and deployment. 3+ years in Pythonbuilding AI/ML pipelines, automation tools, and data processing scripts. Hands-on experience applying GenAI/ML for code generation, summarization, workflow automation, and virtual assistants. Delivered AI-driven impact in 23 engineering projects. Ability to identify and develop use cases in BI, automation, and areas like smart troubleshooting and adaptive testing. Proficient in LLMs, NLP, and AI/ML for software and networking applications. Knowledge of integrating AI with platforms like Webex, Zoom, and Teams via APIs. Skilled in scripting, automation, and AI-augmented workflows. Experienced in Agile/Scrum. Strong problem-solving, communication, and mentoring skills; able to work independently and collaboratively. Desired Skills: ------------------ GitHub Copilot certification. Experience with networking products software development. Familiarity with CI/CD, DevOps, and automation tools. Understanding of responsible AI practices. Experience with data analysis and visualization for AI productivity. Knowledge of cloud-based AI services and integrations. Primary Skills GenAI, LLMs, AI Tools, Python

What is the AI Adoption and Solutions team responsible for? The AI Adoption and Solutions team drives innovation and transformation within our organization. This dynamic team is responsible for identifying opportunities where artificial intelligence can be leveraged to solve complex business challenges and enhance operational efficiency. They work closely with various departments to understand their needs and develop tailored AI solutions that align with the company's strategic goals. From implementing AI/ML/GenAI models to automating processes, the AI Adoption and Solutions team ensures that AI technologies are seamlessly integrated into the business, providing AI insights, driving growth and enterprise impact. Their expertise in AI adoption and product solutions helps FT stay competitive in a rapidly evolving digital landscape, making them an essential part of the company's success. What is the Product Architect-AI responsible for? As an AI Solution Architect, you will be responsible for designing, developing, and implementing AI solutions that address complex business challenges. You will work closely with cross-functional teams to ensure the successful integration of AI technologies into our products and services. What are the ongoing responsibilities of the Product Architect-AI? Technical: Design and architect AI solutions that meet business value streams and requirements. Own the solution outcome for responsible focus areas. Collaboration: Work closely with stakeholders to understand their business needs and technical specifications. Build partnerships across Technology, Business and control groups. AI Product Management: Lead the development and deployment of AI algorithms for solutions. Ensure scalability, performance, monitoring, security, privacy and ethics of AI solutions. Industry Research and Thought Leadership: Stay informed about the latest trends and advancements in AI technology. Share insights with clients and internal teams to drive continuous improvement and innovation. Leadership: Provide technical guidance and knowledge sharing to teams and partners. Influence AI culture, solutions and mindset among cross-functional teams. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science, Engineering, Data Science, or a related field or equivalent experience. Advanced degrees and certifications in AI, Machine Learning, or related areas are preferred. 10+ years of experience in Product, Artificial Intelligence (AI). Demonstrated experience in AI consulting, AI solution design, implementation, and deployment. Familiarity with AI industry trends and use cases. Experience in a client-facing role is necessary. 5+ years of experience. Understanding business processes related to Asset Management, Retail, Advisory, Retirement, Wealth, Insurance. Experience in product lifecycle processes, including product research, market research, competitive analysis, planning positioning, roadmap development, requirements definition, and product launches and go-to-market strategies. Experience in project management, with the ability to manage multiple projects simultaneously and deliver results within deadlines. Comprehensive knowledge of AI technologies, including machine learning algorithms, data analytics, natural language processing, and computer vision. Proficiency in programming languages such as Python, R, or Java. Strong analytical and problem-solving abilities to evaluate client requirements and develop effective AI strategies. Excellent written and verbal communication skills, with the ability to convey business needs to technical solutions and articulate to stakeholders. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST

We are looking for proactive, creative, and tech-savvy interns to join our fast-paced team. If you are someone who is excited about Salesforce, curious about AI, and always ready to figure things out before being told we want you. You'll work alongside industry experts, get hands-on exposure to real-world projects, and have the opportunity to transition into a full-time role based on performance. Key Responsibilities: Support ongoing Salesforce implementations and product builds Use AI tools to draft, research, analyze, and speed up project work Participate in brainstorming sessions and come up with creative ideas Assist in documentation, research, testing, and automation tasks Learn by doing, and show ownership of small to medium tasks Required Skills: A B.Tech graduate with a background in CS/IT or a related field Strong foundational understanding of Salesforce (Admin/Dev basics) A self-starter who is proactive , curious, and solution-driven Comfortable using and exploring AI tools (ChatGPT, Midjourney, Notion AI, etc.) Good communication skills with a flair for creative problem-solving Able to handle tasks independently with attention to detail. Benefits: Monthly stipend Real-world exposure to Salesforce and enterprise technology Direct mentorship from seasoned professionals A chance to transition into a full-time role based on performance Flexible work culture and opportunities to innovate daily

Duration: 36 months | Paid Internship About The Role Were looking for a Graphic Designer Intern with a sharp eye for detail and a passion for turning ideas into powerful visual communication As part of iMochas Product Marketing Team, youll contribute to high-impact marketing and sales enablement projects by designing infographics, presentations, and customer-facing assets. This is an opportunity to build a strong portfolio while learning the design demands of a high-growth SaaS company. Key Responsibilities Design visually engaging presentations, pitch decks, and marketing collateral Create data-driven infographics to simplify complex product and concept narratives Support basic video production and editing using Adobe Premiere Pro / After Effects Collaborate with product marketers and stakeholders to translate briefs into creative outputs. Ensure brand consistency and design standards across all deliverables Continuously explore new design trends, tools, and visual storytelling techniques. Required Skills & Qualifications Student or recent graduate in Graphic Design, Visual Communication, or a related field Proficiency in Adobe Creative Suite (Illustrator, InDesign, Photoshop; Premiere Pro, After Effects) Strong skills in layout design, typography, and infographics creation Basic video editing and understanding of camera/video equipment is a plus Familiarity with AI tools (e.g., ChatGPT, AI-based design assistants) is an advantage Ability to manage time, meet deadlines, and adapt quickly in a fast-paced environment. A strong portfolio demonstrating both design creativity and attention to detail If you're eager to work on real-world marketing projects and shape how global enterprises experience iMocha, wed love to hear from you

The ideal candidate will design, develop, and implement AI-driven solutions that enhance our products and business operations. This role requires a deep understanding of machine learning algorithms, data processing, and deployment practices.

IMMEDIATE OPENINGS -5 Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. Implement moderation layers and fine-tune models to improve chatbot performance and user experience. Design process flows for on-demand availability of AI models without the need for extra coding. Fine-tune models using advanced techniques and enterprise data to optimize performance. Design architecture for information retrieval and implement caching mechanisms for faster retrievals. Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills Bachelor's or Master's degree in Computer Science, Engineering, or related field. 2+ years of experience in application development, enhancement, and product delivery. Proficiency in Python programming language. Experience with Langchain. Hands-on experience with LLMs (Large Language Models) and advanced techniques such as RAG (Retrieval-Augmented Generation), Fine Tuning, Multi-Stage Reasoning, etc. Experience with MoE (Mixture of Experts) models Knowledge of Prompt Engineering methodologies. Familiarity with vector databases including Azure AI Search. Experience with Text to SQL conversion. Familiarity with Nemo Guardrails for model governance. Experience working with Azure Functions for serverless computing. Hands-on experience with building and deploying chatbots using language models like GPT. Strong programming skills in Python and experience with frameworks like Flask. Experience working with Azure services for model deployment and serverless architecture. Knowledge of natural language processing techniques and libraries such as NLTK. Excellent problem-solving skills and ability to work independently and in a team

Position Summary The senior software engineer will be responsible for designing, developing, and maintaining robust, scalable web applications across both the front-end and back-end. This role requires proficiency in multiple programming languages and frameworks, with the ability to work on the full development stack. The senior software engineer will collaborate with cross-functional teams, including developers, QA engineers, and product owners, to ensure high-quality, secure, and performant applications. The ideal candidate is comfortable with both server-side logic and client-side user interface development and possesses a strong understanding of API integrations, databases, and cloud technologies. Specific Responsibilities Development: Design, develop, and maintain web applications across both the front-end and back-end, ensuring high performance, scalability, and reliability. Build and optimize APIs, databases, and other back-end services while ensuring the integrity of the data and system architecture. Develop responsive, user-friendly front-end interfaces using frameworks primarily like Vue.js , JavaScript , HTML5 , and CSS3 . Develop server-side logic using programming languages like C# , Node.js . Implement and optimize database architectures, ensuring secure and efficient data storage and retrieval (e.g. S QL Server, MySQL ). Develop and integrate RESTful APIs to support front-end functionality. Collaboration & Cross-Functional Integration: Work closely with developers, product owners, and QA engineers to implement feature requirements and solve complex development challenges. Ensure smooth integration between front-end and back-end systems, leveraging best practices in software development. Collaborate on the design and implementation of cloud-based services and microservices architectures. Optimization & Performance: Optimize both front-end and back-end code for performance, scalability, and security. Ensure cross-browser and cross-device compatibility for all web applications. Monitor and troubleshoot system performance, identifying bottlenecks and implementing solutions. Testing & Deployment: Conduct thorough testing of both front-end and back-end components using unit testing frameworks like JUnit , Selenium, Jasmine, Vite . Lead deployment efforts in coordination with DevOps and ensure that updates are efficiently rolled out to production environments. Use Bitbucket for version control and manage code repositories. Generative AI Tools & Innovation: Leverage Generative AI tools to streamline development processes and improve the functionality and efficiency of applications. Stay updated with emerging technologies and industry trends, continuously seeking ways to incorporate innovative solutions into development practices. Qualifications Bachelor's or master's degree in computer science, software engineering, or a related field. 8+ years of experience in full-stack software development, with a demonstrated portfolio of completed projects. Proficiency in front-end programming languages and frameworks like JavaScript , Vue.js , HTML5 , and CSS3 . Experience in back-end languages such as C#, Node.js, and Vue.js Strong Knowledge of Java , Python , Angular , React .js preferred Strong knowledge of database management systems (e.g., MySQL , SQL Server ). Experience with API development and integration. Knowledge of cloud platforms and microservices architecture (e.g., AWS , Azure , Google Cloud ). good to have Experience with version control systems like Bitbucket . Experience with generative AI tools to enhance development workflows is a plus. - Copilot, Azure Open AI, GitHub Copilot, and AWS are used for code review. Strong problem-solving skills, attention to detail, and ability to manage multiple tasks and projects simultaneously. Experience working in agile development environments. Excellent communication and collaboration skills, with the ability to effectively interact with internal and external stakeholders. Skills The senior software engineer must be highly skilled in both front-end and back-end technologies. This individual must be detail-oriented, quality-focused, and adept at solving complex problems. They should be comfortable mentoring junior developers and leading the technical aspects of projects. The senior developer must thrive in fast-paced, collaborative environments and be proficient at ensuring application performance, scalability, and maintainability. Education Bachelors degree in a related discipline or equivalent experience.

Execute and support R&D activities leveraging metadata from multiple databases, ETL/ELT products, reporting tools etc. Develop, test, and deploy Python and SQL-based solutions to automate and optimize operational processes. Data Analysis & Reporting Required Candidate profile Provide hands-on programming support for AI-driven initiatives. Mastery in Python Programming Advanced SQL Proficiency analytical methodologies, statistical concepts, and data visualization techniques

We are seeking an experienced and innovative AI Solution Engineer to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI and Automation solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. In this role, you will be resposible for : Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s or Master's degree in Computer Science, Artificial Intelligence, or a related field. 4+ years of experience in designing and delivering AI solutions, with a focus on foundation models, large language models, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus. Solutioning ExperienceExperience in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions. Business AcumenAbility to understand customer needs and business objectives. Experience in working closely with customers and translating their requirements into effective AI solutions. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients’ business processes and cha Preferred technical and professional experience Experience in full AI project lifecycle, from research and prototyping to deployment in production environments. Familiarity with Agile development methodologies Experience with AI and/or data governance Experience with building business automation or digital labor solutions Experience with building customer care solutions/digital assistants Experience with Red Hat OpenShift Experience with Kubernetes Experience with vector DB’s or open file formats like parquet ,avro or orc

Tario is a cutting-edge startup, focused on revolutionizing outbound prospecting through AI agent-led automation. We're building an autonomous SDR (Sales Development Representative) solution that uses LLMs and intelligent agents to run outreach campaignsemail, LinkedIn, even voicepowered by hyper-personalized messaging. No templates. No static sequences. Just smart, dynamic conversations that convert.Were a lean, fast-moving team thats passionate about solving real-world challenges with practical AI. Role & Responsibilities Development and implementation strategies that help in the product growth. Interaction with users, perform market research, and develop the products. Product Strategy and Vision Laying out Web, Mobile (iOS, Android) strategy and roadmap. Multi-functional team collaboration to understand and prioritize requirements. Defining features & requirements. Conceptualization and detailed wire framing/prototyping. Writing user stories and grooming those with design and engineering teams. Agile Product Implementation. Strong understanding of recent & emerging IT trends and technical architecture. Product Marketing: Evangelizing, influencing and collaborating with the product marketing and communications team to ensure proper, informative, impactful engagement with the market through branding, blogs, e-mailers and white papers. Go-to Market: Conducting feature training and demo sessions with sales and support teams. Collaborating with product marketing and communication team for branding, blogs and product launches. Must-Haves: 24 years of product management experience, preferably in B2B SaaS . Full time MBA from a Tier 1 B-School Proving experience in building a commercially successful Complex Enterprise SAAS Software Product. Very strong logical thinking capabilities and analytical skills Ability to Visualize and conceptualize new ideas and solutions UI designing & prototyping (use of wire framing tools) Ability to manage teams and build close relationships with different team members and driving to success Nice-to-Haves: Exposure to agentic AI systems or autonomous AI decision-making workflows. Experience working with sales-tech or martech products. Understanding of outbound sales workflows and tools (CRMs, sequencers, etc.) Why Join Us? Be part of building a first-of-its-kind autonomous SDR platform from scratch. Work alongside AI/ML experts solving real-world challenges (hallucination, prompt tuning, and beyond). Operate in a lean, experimental environment where your voice and vision directly shape the product. Early opportunity to grow into a lead product role as we scale.

Qualifications and Requirements: Bachelors or master’s degree in computer science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus. Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation. Streamlit -- Python Generative AI HuggingFace , OpenAi and any Custom Model development experience Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.). In-depth knowledge of machine learning techniques, algorithms, and model evaluation. Familiarity with big data technologies, cloud platforms, and distributed computing. Excellent problem-solving abilities and analytical thinking. Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders. Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members.

Job Description: We are seeking a highly motivated and skilled AI Developer to join our dynamic team. The ideal candidate should have hands-on experience in designing, developing, and deploying AI and machine learning models to solve real-world problems. You will work closely with data scientists, software engineers, and product teams to build intelligent applications. Key Responsibilities: Design and develop AI/ML models based on business requirements Preprocess and analyze structured and unstructured data Implement Deep Learning and NLP algorithms using frameworks like TensorFlow, PyTorch, and Scikit-learn Collaborate with software engineers to integrate models into production environments Build and optimize pipelines for data ingestion, model training, and inference Monitor model performance and retrain as needed Research and implement state-of-the-art algorithms Create dashboards or front-end demos using Streamlit or similar tools (optional) Key Skills Required: Programming: Python (Must), R (Optional), Java (Good to have) AI/ML: TensorFlow, PyTorch, Keras, Scikit-learn Data Science: Pandas, NumPy, Matplotlib, Seaborn NLP: Hugging Face Transformers, NLTK, SpaCy Computer Vision: OpenCV, YOLO, CNNs Model Deployment: Flask, FastAPI, Docker, AWS/Azure/GCP Databases: SQL, MongoDB, Firebase (optional) Version Control: Git, GitHub Preferred Qualifications: Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field Strong mathematical foundation in statistics, linear algebra, and probability Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Why Join Us? Work on cutting-edge AI solutions Collaborative and inclusive work environment Opportunity to grow in a fast-paced tech-driven organization Exposure to real-world enterprise and consumer AI applications

Job title: Data Scientist/AI Engineer About Quantco: At Quantaco, we deliver state-of-the-art predictive financial data services for the Australian hospitality industry. We are the eighth-fastest growing company in Australia as judged by the countrys flagship financial newspaper, The Australian Financial Review. We are continuing our accelerating through hyper-automation. Our engineers are thought leaders in the business and provide significant input into the design and direction of our technology. Our engineering roles are not singular in their focus. You will develop new data models and predictive models, ensure pipelines are fully automated and run with bullet-proof reliability. We are a friendly and collaborative team. We work using a mature, design-first development process focused on delivering new features to enhance our customer's experience and improve their bottom line. You'll always be learning at Quantaco. About the role We are looking for a Data Scientist with strong software engineering capabilities to join our growing team. This is a key role in helping us unlock the power of data across our platform and deliver valuable insights to hospitality businesses. You will work on projects ranging from statistical modelling and anomaly detection to productionizing ML pipelines (ranged from time series forecasting to neural networks and custom LLMs), integrating with Django and Flask-based web applications, and building data products on Google Cloud using PostgreSQL and BigQuery, as well as ML routines in Databricks/VertexAI. This role is ideal for someone who thrives in a cross-functional environment, enjoys solving real-world problems with data, and can contribute to production-grade systems. Position Description Data Scientist Our culture and values Quantaco is a happy and diverse group of professionals who value a strong work ethic, authenticity, creativity, and flexibility. We work hard for each other and for our customers while having fun along the way. You can see what our team says about life at Quantaco here. If you've got a passion for creating new and impactful data-driven technology and want to realise your potential in a team that values your ideas, then we want to hear from you. Responsibilities of the role: Build and deploy data-driven solutions and machine learning models into production. Collaborate with engineers to integrate models into Django/Flask applications and APIs. Develop and maintain data pipelines using Python and SQL. Proactively seek to link analytical outputs to commercial outcomes Provide technical expertise for proof-of-concept (PoC) and minimum viable product (MVP) phases Clean, transform, and analyse large datasets to extract meaningful insights. Write clean, maintainable Python code and contribute to the platform’s architecture. Work with cloud-native tools (Google Cloud, BigQuery, Cloud Functions, etc.). Participate in sprint planning, stand-ups, and team ceremonies as part of an Agile team. Document MLOps processes, workflows, and best practices to facilitate knowledge sharing and ensure reproducibility You’ll fit right in if you Have 3+ years of experience in a data-centric or backend software engineering role. Are proficient in production Python, including Django or Flask, and SQL (PostgreSQL preferred). Are curious, analytical, and love solving data problems end-to-end. You demonstrate a scientific and design-led approach to delivering effective data solutions Have experience with data modelling, feature engineering, and applying ML algorithms in real-world applications. Can develop scalable data pipelines and integrate them with cloud platforms (preferably Google Cloud). Communicate clearly and can collaborate across technical and non-technical teams. You are self-motivated and can work as an individual and in a team You love innovation and are always looking for ways to improve Have an MLOps experience (mainly, regarding time-series forecasting, LLM and text analysis, classification & clustering problems) Position Description – Data Scientist: It would be fantastic (but not essential) if you Hold a degree in data science, mathematics, statistics, or computer science. Have experience with BigQuery, VertexAI, DBT, Databricks, or Terraform. Are familiar with containerisation and serverless architecture (Docker/Kubernetes/GCP). Have worked with BI tools or data visualization frameworks (e.g. Looker, PowerBI). Have exposure to financial data systems or the hospitality industry. Preferred technical skill set: Google Cloud Platform (BigQuery, VertexAI, Cloud Run) Python (Django/Flask) Azure (MS SQL Server, Databricks) Postman (API development) DBT, Stored procedures ML (time-series forecasting, LLM, text analysis, classification) Tableau/Looker Studio/Power BI

Role & responsibilities • Provide expert consultancy and guidance for AI and cyber security, with a focus on implementing robust security measures. • Advise on the deployment of security guardrails for Generative AI applications. • Advise on AI ethics and ensure compliance with industry standards. • Conduct risk assessments and provide recommendations on improving security posture. • Collaborate with cross-functional teams to integrate AI security solutions. • Deliver training sessions on AI security best practices and tools. • Assist in the development of security policies and procedures. • Stay updated with the latest trends and advancements in AI and cyber security. Preferred candidate profile • Minimum 3 years of experience in AI consultancy or 5-10 years in DEVSECOPS. • Proven track record in cyber consultancy. • AIGP or similar certification. • Cloud security certifications are mandatory. • Certified AI security engineer or proven experience in AI security. • Strong understanding of AI ethics. • Experience in deploying security measures for Generative AI. • Relevant technical and non-technical certifications/memberships in cyber security. • Experience in AI within financial services, particularly corporate banking. • Excellent communication and teamwork skills. • Trainer skillsets.

Certainly! Heres a clear and detailed list of job responsibilities tailored for an Academic Head overseeing AI courses across geographies: Job Responsibilities: Academic Head AI Curriculum Development & Management Design, implement, and continuously enhance the AI curriculum to meet international educational standards and emerging industry trends. Collaborate with subject matter experts, faculty, and industry leaders to integrate cutting-edge AI practices, tools, and technologies into coursework. Academic Leadership & Faculty Coordination Provide academic oversight and direction to teaching staff, ensuring excellence and consistency across delivery across geographies. Recruit, mentor, and develop faculty, fostering professional growth and maintaining high instructional quality. Quality Assurance & Accreditation Ensure adherence to academic quality standards, accreditation requirements, and regulatory compliances specific to educational norms across geographies. Oversee periodic reviews, audits, and assessments to continually enhance course quality and effectiveness. Student Engagement & Success Monitor and evaluate student performance and feedback, initiating interventions and improvements to ensure optimal student learning outcomes. Foster an inclusive, supportive, and engaging educational environment, emphasizing student retention and success. Program Promotion & Stakeholder Communication Work closely with marketing, admissions, and communications teams to effectively position and promote the AI program across diverse platforms in across geographies. Engage with corporate partners, industry experts, and alumni networks to enhance program visibility, internships, placements, and industry collaborations. Research & Thought Leadership Drive and support research initiatives, scholarly publications, and thought leadership activities that enhance the reputation of the institution in the AI and business education fields. Encourage faculty and students to engage in research that addresses practical AI applications and contributes positively to industry and society. Cross-functional Collaboration & Strategic Planning Coordinate with academic operations, technology teams, and other internal stakeholders to ensure seamless program delivery, scheduling, and resource allocation. Participate actively in strategic academic planning, contributing to the institutions long-term growth and global expansion strategies. Technology Integration & Innovation Champion the integration of innovative teaching methodologies, digital tools, and platforms to enrich course delivery and facilitate interactive learning experiences. Keep abreast of emerging technologies and trends in AI education, driving continual innovation within the AI program. International Compliance & Policy Management Stay updated and compliant with education policies, data privacy regulations, and immigration norms relevant to international students and cross-border academic activities. Provide guidance on regulatory compliance, academic integrity policies, and ethical standards specific to academic environments across geographies. Reporting & Analytics Regularly prepare and present comprehensive academic performance reports, student progress analytics, and effectiveness metrics to senior management and stakeholders. Use data-driven insights to inform decision-making, strategic initiatives, and continuous program enhancements. This comprehensive set of responsibilities outlines a strategic, detailed, and leadership-focused role that aligns well with managing AI-based programs across both geographies. Role & responsibilities Preferred candidate profile

Role & responsibilities AI/ML Development: Build and optimize models using TensorFlow, PyTorch for tasks across text, image, voice, and video. Agentic AI: Create autonomous agents using ReAct, AutoGPT, and LangChain with task orchestration and governance. Multimodal Analytics: Apply deep learning for insights from images, video, voice, and text using CNNs and NLP. Cloud Deployment: Use AWS, Azure, and tools like SageMaker for scalable model deployment and integration. Collaboration & Innovation: Partner with teams, track performance, document work, and adopt latest AI/ML practices. Preferred candidate profile Experience:7-9 years in AI/ML with hands-on work in deep learning, LLMs, Generative AI, and deploying models to production. Technical Skills: Proficient in Python, ML frameworks (TensorFlow, PyTorch), and various learning techniques (supervised to reinforcement). Agentic AI & NLP: Skilled in Lang Chain, AutoGen, ReAct, RAG pipelines, prompt engineering, and API/tool integration. Cloud & Deployment: Experience with AWS, Azure, Docker, Kubernetes, and secure, scalable AI deployments. Education & Soft Skills: Strong analytical and communication skills; degree in CS, Engineering, Math, or related field.

Requirements: Ability to read and write in English with a high degree of comprehension skills. Attention to detail and ability to document precise workflows. Self-motivated and able to work independently in a remote setting. Desktop/Laptop (Windows/Mac/Linux) set up with a good internet connection. Familiarity with common digital applications/ tools. Pursuing Bachelor\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'s degree or undergraduate in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related field. Flexible working hours and remote work environment. Mandatory Skills: Critical thinking ,Business Analysis ,Analytical Skills ,Good English writing skills experience of Data Annotation or Digital intelligence is required Leadership experience of Data Annotation or Digital intelligence is required

Responsibilities: Collaborate with cross-functional teams on product roadmap & prioritize product delivery. Ensure customer satisfaction through effective communication & stakeholder management. Requirements gathering, Gen AI solutions and integration. Health insurance Annual bonus Provident fund

Senior Backend Engineer (AI Agent Orchestration) Experience: 3 - 5 Years Exp Salary : Upto USD 1,851 / month Preferred Notice Period : Within 30 Days Shift : 2:00PM to 11:00PM IST Opportunity Type: Remote Placement Type: Contractual Contract Duration: Full-Time, 03 Months (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Fast API, LLM, Python, RestAPI Good to have skills : React Js BatlabsAI (One of Uplers' Clients) is Looking for: Senior Backend Engineer (AI Agent Orchestration) who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Title: Senior Backend Engineer (AI Agent Orchestration) - Contract Location: Remote About Batlabs AI: At Batlabs AI, we're at the forefront of applying cutting-edge artificial intelligence to solve complex, real-world challenges in the [mention a slightly broader field like "scientific R&D" or "industrial process optimization" if "materials manufacturing" is too specific for IP reasons] space. We're an early-stage startup fueled by innovation, a passion for tackling difficult problems, and a commitment to making a significant impact. If you're excited by the prospect of building intelligent systems from the ground up and shaping the future of AI applications, Batlabs AI is the place for you. The Opportunity: We are seeking a highly skilled and motivated Backend Engineer to join us on a contract basis. You will play a pivotal role in architecting and developing the core backend infrastructure for our AI-powered platform. This isn't just another backend role; you'll be instrumental in building an "army of AI agents" sophisticated, specialized AI systems that will form the backbone of our product. You'll work with state-of-the-art technologies like Large Language Models (e.g., Gemini), Langchain, and secure code execution environments to bring our vision to life. What You'll Do: Design, develop, and deploy robust and scalable backend services using Python and FastAPI. Architect and implement AI agent-based workflows using Langchain, defining agent roles, tools, and orchestration logic. Integrate Large Language Models (like Gemini) for code generation, data analysis, and complex reasoning. Develop and integrate tools for AI agents, potentially involving secure code execution sandboxes (like E2B or Docker). Build and maintain APIs for frontend-backend communication and potential third-party integrations. Collaborate closely with a small, agile team to define requirements, design solutions, and iterate quickly. Champion best practices in software development, including security, testing, and maintainability. Embrace a culture of continuous learning, staying updated with advancements in AI, LLMs, and backend technologies. What We're Looking For: Essential Skills & Experience: Proven experience in backend development using Python. Strong experience with web frameworks, particularly FastAPI. Solid understanding of API design principles (RESTful, etc.). A proactive, problem-solving mindset with a willingness to tackle challenging and often ambiguous problems. Demonstrated ability to learn quickly and adapt to new technologies and concepts. Preferred & Highly Valued Experience: Hands-on experience with Langchain for developing AI agent workflows or similar agent-based systems. Experience integrating and working with Large Language Models (LLMs) like Gemini, GPT, or similar. Familiarity with developing systems that involve LLM-generated code and its secure execution (e.g., using Docker, E2B, or other sandboxing technologies). Understanding of chatbot development principles and conversational AI. Experience in a startup environment or working on novel AI applications. Bonus Points: Familiarity with frontend technologies like ReactJS. Experience with cloud platforms (e.g., GCP, AWS, Azure) and deploying AI/ML models. Our Culture & What We Value: Building an inclusive, collaborative, and high-performing culture. Humility: Embrace learning and are open to growth. Open to Feedback: Constructive criticism is welcomed for improvement. Accountability: Encourage ownership of work and responsibility for outcomes. Collaborative Problem Solving: Focus on "us versus the problem." Agile Mindset: Managers and team members work together collaboratively. Transparency: Open environment where information is accessible. Approachability: Promote direct communication and understanding of company goals. Deeply committed to building a diverse team and an inclusive environment. Why Join Us? Impact: Play a foundational role in an early-stage AI startup. Challenge: Work on intellectually stimulating problems at the cutting edge of AI and software engineering. Growth: Unparalleled opportunity for learning and professional development. Collaboration: Be part of a supportive, humble, and collaborative team. Flexibility: Enjoy the benefits of a remote work environment. Interested? If you're a passionate backend engineer ready to dive into complex AI challenges and contribute to a groundbreaking platform, we'd love to hear from you! How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Batlabs AI is redefining how engineers understand complex materials data using LLMs built for science About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) 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!