34 Ai Agents Jobs

You will be working with a large-scale/global company located in Viman Nagar, Pune, requiring 5-8 years of experience in software/application development. As a part of your role, you will lead scalable, high-performance application architecture, develop enterprise-grade applications, manage Azure DevOps processes, and conduct solution design and RCA documentation while interacting with cross-functional teams. The ideal candidate should have a Graduation in Computers/Electronics or Post-Graduation in Computer Science with 5-8 years of experience in software/application development. Mandatory technical skills include proficiency in Python, FastAPI, React/TypeScript, Langchain, LangGraph, AI Agents Docker, Azure Open AI, and Prompt Engineering. Knowledge in AWS (Secrets Manager, IAM, ECS/EC2), Azure AD, Azure DevOps, GitHub, MongoDB (Motor, Beanie ODM), Redis, OAuth2/SAML, JWT, Azure AD integration, and audit logging is required. Additionally, soft skills such as problem-solving, mentoring, and technical communication are essential for this role. Joining this company will expose you to a rewarding work culture where your contributions will define the success of the organization. Bajaj Finance Limited is a leading Non-banking financial company in India and ranks among Asia's top 10 Large workplaces. With over 500 locations across India, this is an opportunity for individuals driven to excel in their careers.,

You will be responsible for end-to-end application development, from backend architecture and APIs to frontend implementation, deployment, and integration of AI-powered features. Your key responsibilities will include designing, developing, and maintaining scalable web applications using Python (Django) and JavaScript frameworks (React/Vue preferred). You will also be tasked with building, training, and integrating AI Agents (OpenAI, LangChain, RAG models, etc.) into web platforms. Collaborating closely with product and design teams, you will translate user needs into technical solutions and implement APIs for data exchange, model inference, and third-party tool integrations. Additionally, you will manage CI/CD pipelines, containerization (Docker), and deployment on cloud platforms (AWS, GCP, Azure) while ensuring security, code quality, performance, and scalability of applications. The ideal candidate should possess 4+ years of hands-on experience with Python and Django (DRF) along with strong fullstack development skills in HTML, CSS, JavaScript, React/Vue. A proven track record of building and integrating AI agents using frameworks like LangChain, OpenAI APIs, Pinecone, Vector DBs, etc. is required. Proficiency in RESTful APIs, WebSockets, and asynchronous task queues (Celery, Redis) is essential. Familiarity with cloud deployment, containerization (Docker), and orchestration (Kubernetes) is expected. Knowledge of AI/ML pipeline architecture, prompt engineering, and large language model workflows will be beneficial for this role.,

We are seeking a Full-Stack Python Django Developer with expertise in developing and deploying AI Agents and automation workflows. Your role will involve handling the entire application development process, from backend architecture and APIs to frontend implementation, deployment, and integration of AI-powered functionalities. Responsibilities: - Design, create, and maintain scalable web applications using Python (Django) and JavaScript frameworks (React/Vue preferred). - Develop and integrate AI Agents (such as OpenAI, LangChain, RAG models) into web platforms. - Collaborate closely with product and design teams to convert user requirements into technical solutions. - Implement APIs for data exchange, model inference, and integration with third-party tools. - Manage CI/CD pipelines, containerization (Docker), and deployment on cloud platforms (AWS, GCP, Azure). - Ensure the security, code quality, performance, and scalability of applications. Required Skills: - Minimum 4 years of hands-on experience with Python and Django (DRF). - Strong proficiency in fullstack development including HTML, CSS, JavaScript, React/Vue. - Demonstrated expertise in building and integrating AI agents using frameworks like LangChain, OpenAI APIs, Pinecone, Vector DBs, etc. - Proficient in RESTful APIs, WebSockets, and asynchronous task queues (Celery, Redis). - Familiarity with cloud deployment, containerization (Docker), and orchestration (Kubernetes). - Knowledge of AI/ML pipeline architecture, prompt engineering, and large language model workflows.,

7–8 years’ exp in Java, Spring Boot, AWS, Docker, and REST APIs.Knowledge of DDD, authentication protocols, data structures & Agile practices. AWS certification preferred. Expe with Salesforce, AI agents, and security best practices is a plus. Required Candidate profile Experienced with Salesforce integration, web security, and Agile practices. AWS certified, strong in data structures, and proficient in GitHub, GitHub Actions, and AI-based backend development.

7–8 years’ exp in Java, Spring Boot, AWS, Docker, and REST APIs.Knowledge of DDD, authentication protocols, data structures & Agile practices. AWS certification preferred. Expe with Salesforce, AI agents, and security best practices is a plus. Required Candidate profile Experienced with Salesforce integration, web security, and Agile practices. AWS certified, strong in data structures, and proficient in GitHub, GitHub Actions, and AI-based backend development.

Ccube is a fast-growing technology company dedicated to transforming how businesses harness the power of Apps, Data, and AI. We help organizations thrive by delivering integrated solutions across various sectors. We are currently seeking a dynamic individual to join our team as a "GenAI Pre-Sales Consultant" based in Indore (Hybrid), on a Full-Time basis in the AI/Tech domain. As a GenAI Pre-Sales Consultant, you will play a crucial role in leading sales for Generative AI solutions, which includes LLMs, RAG, vector DBs, and AI agents. Your main responsibilities will include prospecting, pitching, and closing AI deals, leading client discovery sessions and product demos, translating GenAI technology into ROI for clients, collaborating with technical teams, and managing your sales pipeline efficiently using tools like HubSpot/Salesforce. The ideal candidate should possess at least 6+ years of experience in B2B tech sales or consulting, have a strong understanding of LLMs, RAG, vector DBs (e.g., Pinecone), be an excellent communicator with a blend of technical and business acumen, be well-versed in CRM tools, self-motivated, and prioritize client satisfaction. Previous experience in selling AI/ML platforms or working in industries like fintech, healthcare, or retail would be a bonus. At Ccube, we offer an environment where you can build the future by being part of a mission-driven company that is shaping the next generation of AI and digital solutions. You will collaborate with talented individuals who value transparency, experimentation, and integrity, while also benefiting from career mobility, competitive compensation including base salary, commission, and stock options, opportunities for professional growth through annual stipends for certifications, courses, and industry events. If you are ready to help companies unlock the power of technology and contribute to building something extraordinary in the process, we encourage you to reach out to us at "rahul@ccube.com" for more details. Join us at Ccube and be part of a collaborative culture that nurtures talent, innovation, and success. Powered by JazzHR,

7–8 years’ exp in Java, Spring Boot, AWS, Docker, and REST APIs.Knowledge of DDD, authentication protocols, data structures & Agile practices. AWS certification preferred. Expe with Salesforce, AI agents, and security best practices is a plus. Required Candidate profile Experienced with Salesforce integration, web security, and Agile practices. AWS certified, strong in data structures, and proficient in GitHub, GitHub Actions, and AI-based backend development.

Primary Skills (Must have hands on Exp): Gen AI, RAG, LLM, Agentic AI, Data Science, Python, AI/ML, API Integration GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs. Documentation: Excellent documentation and communication skills. Role & responsibilities : As a Technical Architect with expertise in OpenAI technology, you will play a pivotal role in the design, implementation, and optimization of AI applications and systems. You will collaborate closely with cross-functional teams, software engineers, data scientists, and product managers to ensure the successful deployment of OpenAI technology. Your responsibilities will include: Primary Responsibilities: AI Solution Design: Lead the design of AI solutions powered by OpenAI technology, defining system architecture and components. Technical Leadership: Provide technical leadership and guidance to development teams in implementing OpenAI solutions. OpenAI Model Selection: Identify and recommend the appropriate OpenAI models, such as GPT-3, GPT-4, or specific language models, based on project requirements. Scalability and Performance: Ensure that AI solutions are scalable and optimized for performance, especially when dealing with large datasets. API Integration: Integrate OpenAI APIs and SDKs into applications and services, ensuring seamless functionality. Model Fine-Tuning: Collaborate with data scientists to fine-tune OpenAI models for specific use cases or domains. Data Processing: Oversee data preprocessing and feature engineering to prepare data for input into OpenAI models. Security and Compliance: Address security and compliance considerations in OpenAI-powered solutions, particularly when handling sensitive data. Documentation: Create and maintain technical documentation for OpenAI architectures, model usage, and best practices. Training and Mentorship: Mentor team members and facilitate knowledge sharing and skill development. Conduct code reviews and refactoring wherever possible

As a Senior Data Scientist specializing in Large Language Models (LLMs), Vision Language Models (VLMs), Prompt Engineering, and AI Agents, you will be instrumental in the development of a Proof of Concept (POC) project aimed at automating and enhancing test case creation for user stories. Leveraging cutting-edge AI techniques, such as extracting information from images and documents, automated test case generation, and code analysis for testability, you will play a vital role in advancing this innovative project. Your key responsibilities will include developing and deploying advanced AI/ML solutions utilizing LLMs, VLMs, and prompt engineering to automate the creation and refinement of test cases for user stories. You will also be tasked with extracting and interpreting content from various sources, including images and documents, through the use of Vision Language Models and other relevant tools. Additionally, your role will involve analyzing existing codebases to enhance testability using AI-driven approaches, researching and implementing AI Agent frameworks to optimize testing workflows, and continuously evaluating and improving models and prompts for accuracy, efficiency, and business alignment. To qualify for this position, you should have at least 5 years of experience as a Data Scientist or in a related AI/ML role, with proven expertise in LLMs such as OpenAI and Claude. Hands-on experience with VLMs and prompt engineering, as well as a demonstrated track record of developing and applying AI Agents to automate real-world processes, are essential requirements. You should possess a strong background in automating testing processes using AI/ML techniques, proficiency in Python and common ML frameworks, and experience in extracting structured data from unstructured content like text, images, and documents. Familiarity with code analysis, test case design, and the software development lifecycle, along with excellent problem-solving, communication, and collaboration skills, will be beneficial for excelling in this role.,

Role & responsibilities Bachelor's degree in Computer Science, Artificial Intelligence, or related field • 3-5 years of experience in AI/ML development with focus on building practical AI applications • Strong understanding of machine learning algorithms, neural networks, and deep learning techniques • Proficiency in Python programming and AI/ML frameworks (TensorFlow, PyTorch) • Experience with large language models (LLMs) and prompt engineering techniques • Knowledge of vector databases for semantic retrieval of relevant context • Experience with cloud platforms (AWS, Azure, GCP) • Strong problem-solving and analytical skills • Excellent communication skills for collaborating with technical and non-technical stakeholders Preferred Qualifications: • Experience with AI orchestration tools like LangChain, Flowise, or similar agent SDKs • Experience with agent architecture optimization techniques • Knowledge of reinforcement learning and its applications • Experience developing and deploying AI-powered APIs • Familiarity with AI-driven process optimization for business workflows • Experience with model retraining and optimization pipelines Preferred candidate profile

We are looking for a versatile Technical Architect with specialized knowledge in Large Language models, Generative AI, as well as Full-Stack Cloud Native Application Development and Cloud Engineering to be a part of our innovative product development team. As a Technical Architect, your main responsibility will be to contribute significantly to the development of strategic platforms, cutting-edge products, and creative solutions for our clients. This will involve leveraging the capabilities of LLMs, Generative AI, and Agentic AI in conjunction with Cloud Solutions and Cloud Native Full Stack Application Development. Your key focus areas will include defining technical architecture and solution design for custom product development to deliver impactful and innovative solutions that enrich our product range. The ideal candidate will possess a robust architecture background, a drive to explore the frontiers of technology, and a willingness to acquire new skills and technologies rapidly. Moreover, the ideal candidate will blend product development and cloud architecture expertise with contemporary Generative AI and LLM Solution Architecture and Design proficiencies. Key Skills Required: - Proficiency in Full Stack MERN App Development, encompassing Front-End and Back-End Development, API Development, and Micro Services. - Experience in Azure Cloud Native App Development and Cloud Solutions is essential. - Familiarity with AWS Cloud Native App Development and AWS Cloud Solutions is desirable. - Expertise in LLM Solutions and LLM App Development. - Knowledge of AI Agents, Agentic AI Workflows, and Enterprise Integrations. - Competency in Generative AI, Multi Modal AI, and Creative AI, including working with Text, Imagery, Speech, Audio, and Video AI. Responsibilities: - Establishing Cloud Architecture for cloud solutions and cloud-native app development. - Defining Technical Architecture for full-stack application development and bespoke product development. - Leading the translation of business and product requirements into technical architectures that balance architectural quality, scalability, cost-effectiveness, maintainability, and suitability for the intended purpose. - Collaborating with senior technology and engineering stakeholders to shape, define, refine, validate, review, and optimize proposed architectures. - Working with solution architects, development leads, full-stack developers, engineers, and quality engineers to develop and integrate solutions into existing enterprise products. - Collaborating with cross-functional teams to develop and validate client requirements and quickly translate them into functional solutions. - Utilizing best practices in architecture to shape and validate proposed solutions. - Guiding solution design for scalable AI-enabled products, cloud-native apps, and cloud solutions. - Overseeing the technical delivery of applications involving Cloud Platforms, Cloud Native Apps, and Cloud AI Services. - Leading the solution tech design and promoting the adoption of appropriate design patterns and best practices across all layers of the application stack. - Designing enterprise products and full-stack applications on the MERN stack with a clear separation of concerns across layers. - Creating web apps and solutions that leverage LLM models and Generative AI workflows. - Leveraging Multi Modal AI capabilities to support all content types and modalities such as text, imagery, audio, speech, and video. - Continuously researching and exploring emerging trends and techniques in Generative AI and LLMs to remain at the forefront of innovation. - Leading product development and delivery within demanding timelines. - Engaging hands-on with code and guiding hands-on development Proof of Concepts (PoCs) to validate new ideas, shape new solutions, and provide direction to the development team. Skills and Competencies: Must-Have Capabilities: - Expertise in architecting and designing full-stack applications using the MERN stack (JavaScript) for both client-side and server-side applications. - Strong knowledge of architecting and designing full-stack applications using Python-based development, including Python Apps for LLM integration. - Proficiency in programming languages and key design patterns for both front-end and back-end development. - Previous experience leading solution design across front-end and back-end development. - Experience in solution design across Data Processing, Data Integration, API integration, Enterprise Systems Integration, and Workflow Design. - Experience in designing scaled Gen-AI solutions in Production, including the use of LLMs and Multi Modal AI. JavaScript / MERN Stack Competencies: - Minimum 8 years of hands-on experience in designing and building Full-Stack MERN apps using client-side and server-side JavaScript. - Strong solution design experience across Front-End Web Apps and Web Development, especially apps built on React.js. - Strong solution design experience with API Definition and Design, Micro Services Architecture best practices, and microservices solution design. - Hands-on experience with Node.js and related server-side JavaScript frameworks (e.g., Express.js, Nest.js). - Experience in deploying full-stack MERN apps to a cloud platform like Azure. - Working experience with Server-side JavaScript Frameworks for building Domain-driven Micro Services, including Nest.js and Express.js. - Experience with BFF frameworks such as GraphQL. - Experience with API Management and API Gateways. Gen-AI / LLM Apps with Python Competencies: - Minimum 5 years of hands-on experience in designing and building Python-based apps and solutions. - Minimum 2+ years of hands-on experience in designing scaled Gen-AI solutions with LLMs and LLM models. - Strong experience in designing custom data solutions in Python, including data processing pipelines, data workflows, and integrating customer and enterprise datasets to enhance LLM knowledge. - Solid experience in designing end-to-end RAG pipelines using advanced pre-processing, chunking, embedding, and ranking techniques to enhance LLM output quality. - Solid experience in designing LLM Pipelines that integrate structured and unstructured datasets from various sources. - Good experience in designing AI-enabled workflows that automate content, creativity, and business processes. - Hands-on experience in Conversational AI solutions and chat-driven experiences. - Hands-on experience with multiple LLMs and models like GPT-4o, GPT o1, o3 mini, Google, Gemini, Claude Sonnet, etc. - Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI, and preferably AWS Bedrock and/or GCP Vertex AI. - Experience in designing solutions utilizing AI Assistants and threaded messages to orchestrate with LLMs. - Experience working with AI Agents and Agent Services. - Experience in building Agentic AI workflows for iterative improvement of outputs. - Experience in evaluating and enhancing AI outputs. Multi Modal AI Competencies: - Experience in designing intelligent document processing and document content extraction pipelines. - Experience in utilizing Multi Modal AI models for Imagery and Visual Creative, including LoRA models. - Experience in Computer Vision and Image Processing using Multi Modal AI. - Experience in leveraging Multi Modal AI for Speech, including Text to Speech and Custom Speech training. - Experience in using partner APIs to orchestrate across various Multi Modal AI models. - Ability to lead a team of development leads for delivering Full-Stack MERN Apps and Products/Solutions based on LLMs and LLM models. Nice-to-Have Capabilities: MERN Stack and Cloud-Native App Development: - Experience in working with a Federated Graph architecture. - Experience in working with container apps and containerized environments. - Working experience with Web Components and Portable UI components. Python / ML LLM / Gen-AI App Development: - Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions and frameworks. - Experience with different Agent communication and chaining patterns. - Ability to utilize LLMs for Reasoning and Planning workflows that enable automated orchestration across multiple applications and tools. - Ability to use Graph Databases and Knowledge Graphs as an alternative or replacement for Vector Databases to enable more relevant semantic querying and outputs via LLM models. - Solid background in Machine Learning solutions. - Fundamental understanding of Transformer Models. - Some experience in custom ML model development and deployment. - Proficiency in deep learning frameworks like PyTorch or Keras. - Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent,

As a passionate and experienced Expert / Senior Full Stack Developer/Senior Developer with AI Skills at SAP, you will be joining a new engineering team focused on enabling the world to run better through innovative technology solutions. With a strong emphasis on collaboration and a shared passion for driving positive change, you will play a key role in building the foundation for tomorrow and creating an inclusive workplace that values flexibility and diversity. Your responsibilities will include developing cloud & SaaS applications, leveraging your expertise in AI product development, particularly in Agentic AI. You will have the opportunity to work with LLMs and generative AI frameworks, integrating AI-driven features into applications. Your experience with GenAI, LLMs, RAG, Lang Chain, VectorDBs will be crucial in contributing to the success of the team. In this role, you will utilize your expertise in developing RESTful services using technologies such as Spring Boot or Node.js, along with knowledge of SAPUI5 JavaScript, React, Angular, or Vue. Additionally, familiarity with BTP, CDS, CAP, Cloud Foundry, microservices, CI/CD pipelines, DwC, and build automation tools like Jenkins will be beneficial. You will be part of the Deployment Hub team, which is dedicated to simplifying deployment experiences and accelerating time to value through personalization and integration of SAP products. By focusing on customer obsession and leveraging automation and data-driven approaches, the team aims to enhance the product experience, drive improved customer satisfaction, and increase operational efficiency. At SAP, we are committed to creating an inclusive and diverse workplace where every individual, regardless of background, can thrive and contribute their unique talents. Our culture of inclusion, focus on well-being, and flexible working models ensure that all employees can perform at their best. We value the diverse capabilities and qualities that each person brings to the company, investing in our employees" growth and development to unleash their full potential. As part of a global cloud company with a strong team ethic and a commitment to personal development, you will have the opportunity to work on cutting-edge innovations that impact over four hundred thousand customers worldwide. SAP's purpose-driven approach and collaborative culture empower employees to tackle challenges and drive meaningful solutions. Join SAP in its mission to unleash all talent, create a more equitable world, and drive positive change through inclusive practices and innovative technology solutions.,

As an AI Engineer (Generative AI / Agentic AI) at Roboyo, you will be responsible for developing AI solutions using Generative AI models such as LLMs and agent-based frameworks. Your role will revolve around leveraging your strong Python skills and cloud technology experience in Azure, AWS, and GCP to build intelligent applications like chatbots and AI agents. This position will involve working on both client projects and internal prototypes, fostering collaboration with solution architects, data engineers, and active participation in agile development cycles. Your key responsibilities will include designing and testing AI-driven applications, deploying models and AI solutions on cloud platforms to ensure scalability, collaborating with the team to align AI solutions with client needs, and contributing to Roboyo's internal AI prototypes and knowledge sharing initiatives. The ideal candidate will have 3-6 years of software development experience with a focus on AI/ML, strong Python skills, and proficiency in AI libraries like TensorFlow and PyTorch. Experience in deploying AI solutions on cloud platforms and knowledge of Generative AI models such as LLMs and GPT will be essential. Additionally, good data handling and integration skills are required. Preferred qualifications include exposure to automation platforms like UiPath and Power Platform, familiarity with web development, APIs, or conversational AI tools such as Rasa and Microsoft Bot Framework. AI certifications will be considered a plus. Join our dynamic and ambitious team at Roboyo, where you will experience a fun and innovative work environment with a group of passionate individuals dedicated to pushing the boundaries of technology and automation. By applying for this role, you consent to the processing of your personal data for recruitment purposes in accordance with our Privacy Policy.,

As a Technical Architect at our organization, you will be an integral part of our dynamic product development team, bringing your deep expertise in Large Language models (LLMs) and Generative AI, along with Full-Stack Cloud Native Application Development and Cloud Engineering skills. Your role will involve developing strategic platforms, cutting-edge products, and innovative solutions for our clients by combining the power of LLMs, Generative AI, and Agentic AI with Cloud Solutions and Cloud Native Full Stack Application Development. Your primary responsibility will be to define technical architecture and solution design for bespoke product development, creating impactful solutions that enhance our product portfolio. The ideal candidate will possess a strong architecture background, a passion for technology innovation, and the ability to quickly acquire new skills and technologies. You will also need to merge product development and cloud architecture skills with modern Generative AI and LLM Solution Architecture and Design expertise. Key Skills required for this role include: - Full Stack MERN App Dev, Front-End + Back-End Development, API Dev, Micro Services - Azure Cloud Native App Dev, Cloud Solutions - AWS Cloud Native App Dev, AWS Cloud Solutions - LLM Solutions, LLM App Dev - AI Agents, Agentic AI Workflows - Enterprise Integrations - Generative AI, Multi Modal AI, Creative AI - Working with Text, Imagery, Speech, Audio, and Video AI Your responsibilities as a Technical Architect will encompass: - Cloud Architecture for cloud solutions and cloud-native app development - Technical Architecture for full-stack application development and bespoke product development - Leading the translation of business and product requirements into technical architectures - Collaborating with senior technology stakeholders to shape and optimize proposed architectures - Developing and integrating solutions into existing enterprise products - Guiding solution design for scalable AI-enabled products, cloud-native apps, and cloud solutions - Leading the technical delivery of applications involving Cloud Platforms, Cloud Native Apps, and Cloud AI Services - Designing enterprise products and full-stack applications on the MERN stack - Researching emerging trends in Generative AI and LLMs - Leading product development and delivery within tight timelines - Being hands-on with code and providing direction to the development team Skills and Competencies required for this role: Must-Have capabilities: - Strong expertise in architecting and designing full-stack applications using the MERN stack and Python - Prior experience of leading solution design across front-end and back-end development - Strong solution design experience with API Definition, Micro Services Architecture, and Gen-AI solutions - Competencies in JavaScript / MERN stack, including React.js, Node.js, Express.js, GraphQL, and API Management - Competencies in Gen-AI / LLM Apps with Python, designing scaled Gen-AI solutions, and leveraging AI workflows - Competencies in Multi Modal AI, including Visual Creative, Computer Vision, and Speech processing Nice-to-Have capabilities: - Experience with Federated Graph architecture, containerized environments, and Web Components - Hands-on experience with ML LLM / Gen-AI App Dev, Agent Orchestration, and Graph Databases - Proficiency in deep learning frameworks such as PyTorch or Keras, and Cloud ML Platforms like Azure ML Service Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent,

We are hiring a Full Stack Developer with strong exposure to AI tools, APIs, and product development workflows. This role is for someone who can independently design, build, and deploy full-stack applications, and also integrate AI-powered components such as RSVP agents, recommendation systems, conversational flows, and automation tools. Responsibilities Build and maintain full-stack web apps using React, Node.js, Python Integrate AI/ML APIs like OpenAI, Cohere, LangChain, Pinecone, etc. Architect intelligent features using vector databases, RAG pipelines, and custom agent flows Work on both frontend + backend and own deployment, testing & CI/CD Collaborate closely with product & automation teams Must-Have Skills Strong proficiency in JavaScript/TypeScript, Python, Node.js Comfortable with NoSQL, PostgreSQL, Firebase, or Supabase Experience with API integrations, automation, and microservices Understanding of AI agentic flows, embeddings, and webhooks Experience deploying products on Vercel, Render, or similar Good to Have Familiarity with tools like LangChain, LlamaIndex, or OpenAI Assistants Working knowledge of Next.js, Tailwind CSS, and prompt engineering Work Culture Fully remote Flat structure Fast execution environment Product-first mindset

The ideal candidate for this role should have prior experience in any backend tech stack, but also possess a strong desire to explore and delve deeper into technologies to discover innovative solutions. In this position, you will have the opportunity to: - Contribute to the creation of cutting-edge enterprise solutions that make a real impact. - Take ownership of features from end to end and lead the way in driving meaningful innovations. - Thrive in a fast-paced startup culture where your opinion and input are highly valued. - Collaborate with a team of talented individuals who are all focused on solving complex challenges. - Enhance your skills across a range of technologies including Mongo, SQL, Dynamo, Redis, Firebase, Kafka, SQS, Elastic search, Bigquery, Lambda, Go, Node.js, Python, React, Next.js, Angular, AWS, GCP, and AI agents. If you are passionate about technology and eager to make a difference through your work, this is the perfect opportunity for you to grow and excel in a dynamic and innovative environment.,

ML Scientist Experience: 2 - 6 Years Exp Salary : Competitive Preferred Notice Period : Within 15 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Multimodal llms , vision-language models , Agentic AI Infibeam (One of Uplers' Clients) is Looking for: ML Scientist 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 We're hiring ML Scientists at Phronetic AI (a division of Infibeam Avenues Limited) to shape the future of multimodal reasoning and agentic AI with a strong focus on building compact, efficient models that can run on edge or on-prem environments. We're looking for 23 exceptional candidates across experience levels: 25 years: You have experience taking ideas from concept to working prototypes or products in multimodal or LLM-driven systems. You're comfortable experimenting with training strategies, model architectures, and evaluation pipelines to push model reasoning capabilities forward. 5+ years: You bring deep technical expertise and are excited to mentor junior team members, guide architectural decisions, and help shape the direction of our multimodal model research and deployment efforts. What we’re building: Models that understand and reason across text, images, video, and structured documents. Systems that go beyond perception — toward agentic, grounded, real-world intelligence Smaller, instruction-tuned models for efficient edge/on-prem inference A team culture focused on technical depth, fast iteration, and open research Let’s build intelligent, efficient, and grounded systems — together. 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: Infibeam Avenues Limited (IAL) is a leading digital payments and e-commerce technology platforms company in India and provides a comprehensive suite of web services spanning digital payment solutions, data centre infrastructure and software platforms. We provide solutions to merchants, enterprises, corporations and governments in both domestic as well as international markets to enable online commerce. Our digital technology facilitates businesses and governments to execute e-commerce transactions in a safe and secure manner. 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!

ML Scientist Experience: 2 - 6 Years Exp Salary : Competitive Preferred Notice Period : Within 15 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Multimodal llms , vision-language models , Agentic AI Infibeam (One of Uplers' Clients) is Looking for: ML Scientist 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 We're hiring ML Scientists at Phronetic AI (a division of Infibeam Avenues Limited) to shape the future of multimodal reasoning and agentic AI with a strong focus on building compact, efficient models that can run on edge or on-prem environments. We're looking for 23 exceptional candidates across experience levels: 25 years: You have experience taking ideas from concept to working prototypes or products in multimodal or LLM-driven systems. You're comfortable experimenting with training strategies, model architectures, and evaluation pipelines to push model reasoning capabilities forward. 5+ years: You bring deep technical expertise and are excited to mentor junior team members, guide architectural decisions, and help shape the direction of our multimodal model research and deployment efforts. What we’re building: Models that understand and reason across text, images, video, and structured documents. Systems that go beyond perception — toward agentic, grounded, real-world intelligence Smaller, instruction-tuned models for efficient edge/on-prem inference A team culture focused on technical depth, fast iteration, and open research Let’s build intelligent, efficient, and grounded systems — together. 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: Infibeam Avenues Limited (IAL) is a leading digital payments and e-commerce technology platforms company in India and provides a comprehensive suite of web services spanning digital payment solutions, data centre infrastructure and software platforms. We provide solutions to merchants, enterprises, corporations and governments in both domestic as well as international markets to enable online commerce. Our digital technology facilitates businesses and governments to execute e-commerce transactions in a safe and secure manner. 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!

We are urgently hiring for a GenAI with a reputed Client for Pune, Location Experience - 7 + years Looking for IMMEDIATE JOINER or Serving Notice period Primary Skills: ML Models- Supervised and Unsupervised learning GEN AI- RAG, AI Agents Python

Job Description:- We are seeking an experienced AI Engineer to join our team and play a key role in developing and integrating cutting-edge AI tools into our SaaS products. The ideal candidate has hands-on expertise with platforms like OpenAI, LangChain, or Hugging Face, and a strong background in delivering scalable, production-ready AI solutions. In this role, you will lead AI feature development, collaborate cross-functionally, and mentor junior engineers. Responsibilities:- Design and develop AI-driven features leveraging large language models (LLMs) and embedding techniques. Integrate solutions using tools such as OpenAI, vector databases (e.g.,Pinecone, FAISS), and generative AI frameworks like LangChain or HuggingFace. Build and maintain Retrieval-Augmented Generation (RAG) pipelines and conversational AI workflows. Collaborate closely with backend and frontend engineering teams to ensure seamless integration of AI capabilities into the product. Continuously optimize AI models and pipelines for performance, scalability, and accuracy. Requirements: 2-4 years of experience in AI/ML-focused software development Proficiency in Python and hands-on experience with AI frameworks and toolkits such as LangChain, Pinecone, and OpenAI Strong problem-solving abilities and solid understanding of system architecture and design Excellent communication and collaboration skills

Biovantage employs a lean and efficient team wherein each capable member is involved in inter-disciplinary work, which develops their talent in business areas that go beyond technical know-how. Therefore, while as a Full Stack Developer, you will primarily be responsible for designing, developing, and maintaining the front-end and back-end components of our web applications, you will also work closely with our product, design and engineering teams to deliver high-quality software to clients, and with our management to design and implement novel business ideas and ventures. Position: Full Stack Developer Skills: 2+ years of professional experience in full stack development. Proficiency in front-end technologies: HTML, CSS, JavaScript, and modern frameworks/libraries such as React.js (Specifically Next.js) for the frontend and C#, ASP .NET framework. Strong back-end development skills using languages such as C#, Node.js (JavaScript/TypeScript), Python, or PHP. Experience with database management systems, particularly PostgreSQL. Familiarity with RESTful APIs and web services architecture. Knowledge of version control systems, particularly Git. Experience with cloud platforms such as AWS, Azure, and knowledge of their services offered is a plus. Experience with AI agents and building custom agents. Responsibilities: Develop and maintain web applications using modern front-end and back-end technologies. Collaborate with cross-functional teams to define, design, and ship new features. Write clean, maintainable, and efficient code. Optimize applications for maximum speed and scalability. Troubleshoot and debug issues and perform code reviews. Implement responsive web design principles to ensure our applications work well across various devices and screen sizes. Negotiate and communicate effectively with the clientele. Breakdown requirements into modular tasks and create timelines Stay up to date with emerging technologies and industry trends. Mentor junior developers and contribute to a culture of continuous improvement. Preferred: Experience with CI/CD pipelines and DevOps practices. Understanding of containerization and orchestration tools like Docker and Kubernetes. Knowledge of microservices architecture. Familiarity with Agile/Scrum methodologies. Ability to work independently and manage multiple tasks effectively. Interest in client-facing opportunities Interest in learning novel technologies and working simultaneously with multiple tech-stacks. Strong problem-solving skills and attention to detail. Qualification: Bachelor's or master's degree in information technology, Computer Science or other relevant technical discipline.

Job Description: Job Timings: Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Location : Valsad, Gujrat Responsibilities: Design, develop, and maintain .NET applications. Able create plug and play library for .net applications. Hands on knowledge in SQL Database Implement AI solutions. Develop APIs and services to support AI functionalities. Know well about setup load balancing between database and application. Third Party integration ( scrapping data from other website) Advantage having knowledge of UI technology (Angular) Ensure the performance, quality, and responsiveness of applications. Troubleshoot and resolve software defects and issues. Stay updated with the latest industry trends and technologies in AI and .NET development. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a .NET Developer. Experience with AI tools like AWS generative AI, . Proficiency in C# and .NET framework. Familiarity with cloud platforms (e.g., Azure, AWS) and their AI services. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Master's degree in Computer Science or related field. Experience with DevOps practices and CI/CD pipelines.

Job Timing : Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Description: As a Data Scientist specializing in AI and Machine Learning, you will play a key role in developing and deploying state-of-the-art machine learning models. You will work closely with cross-functional teams to create solutions leveraging AI technologies, including OpenAI models, Google Gemini, Copilot, and other cutting-edge AI tools. Key Responsibilities: Design, develop, and implement advanced AI and machine learning models focusing on generative AI and NLP technologies. Work with large datasets, applying statistical and machine learning techniques to extract insights and develop predictive models. Collaborate with engineering teams to integrate models into production systems. Apply best practices for model training, tuning, evaluation, and optimization. Develop and maintain pipelines for data ingestion, feature engineering, and model deployment. Leverage tools like OpenAI's GPT models, Google Gemini, Microsoft Copilot, and other available platforms for AI-driven solutions. Build and experiment with large language models, recommendation systems, computer vision models, and reinforcement learning systems. Continuously stay up-to-date with the latest AI/ML technologies and research trends. Qualifications: Required: Proven experience as a Data Scientist, Machine Learning Engineer, or similar role. Strong expertise in building and deploying machine learning models across various use cases. In-depth experience with AI frameworks and tools such as OpenAI (e.g., GPT models), Google Gemini, Microsoft Copilot, and others. Proficiency in machine learning techniques, including supervised/unsupervised learning, reinforcement learning, and deep learning. Expertise in model training, fine-tuning, and hyperparameter optimization. Strong programming skills in Python, R, or similar languages. Solid understanding of model evaluation metrics and performance tuning. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and ML model deployment tools like TensorFlow, PyTorch, and Keras. Experience with MLOps tools such as MLflow, Kubeflow, and DataRobot. Strong experience with data wrangling, feature engineering, and preprocessing techniques. Excellent problem-solving skills and the ability to communicate complex ideas to non-technical stakeholders. Preferred: PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience with large-scale data processing frameworks (Hadoop, Spark, Databricks). Expertise in Natural Language Processing (NLP) techniques and frameworks like Hugging Face, BERT, T5, etc. Familiarity with deploying AI solutions on cloud services, including AWS SageMaker, Azure ML, or Google AI Platform. Experience with distributed machine learning techniques, multi-GPU setups, and optimizing large-scale models. Knowledge of reinforcement learning (RL) algorithms and practical application experience. Familiarity with AI interpretability tools such as SHAP, LIME, and Fairness Indicators. Proficiency in using collaboration tools such as Jupyter Notebooks, Git, and Docker for version control and deployment. Additional Tools & Technologies (Preferred Experience): Natural Language Processing (NLP): OpenAI GPT, BERT, T5, spaCy, NLTK, Hugging Face Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn Big Data Processing: Hadoop, Spark, Databricks, Dask Cloud Platforms: AWS SageMaker, Google AI Platform, Microsoft Azure ML, IBM Watson Automation & Deployment: Docker, Kubernetes, Terraform, Jenkins, CircleCI, GitLab CI/CD Visualization & Analysis: Tableau, Power BI, Plotly, Matplotlib, Seaborn, NumPy, Pandas Database : RDBMS, NoSQL Version Control: Git, GitHub, GitLab Why Join Us: Innovative Projects: Work on groundbreaking AI solutions and cutting-edge technology. Collaborative Team: Join a passionate, highly skilled, and collaborative team that values creativity and new ideas. Growth Opportunities: Develop your career in an expanding AI-focused company with continuous learning opportunities. Competitive Compensation: We offer a competitive salary and benefits package.

Job Title: Senior AI Engineer Reports To: Data Architect About the Company: Ignitho Inc. is a leading AI and data engineering company with a global presence, including US, UK, India, and Costa Rica offices. Visit our website to learn more about our work and culture: www.ignitho.com. Ignitho is a portfolio company of Nuivio Ventures Inc., a venture builder dedicated to developing Enterprise AI product companies across various domains, including AI, Data Engineering, and IoT. Learn more about Nuivio at: www.nuivio.com. Job Summary: As a Senior AI Engineer, the candidate will lead the design, development, and deployment of cutting-edge machine learning and artificial intelligence solutions. The candidate will work closely with cross-functional teams to understand business needs and translate them into scalable AI-driven applications. Key Responsibilities: Design and implement machine learning models and AI agents/LLMs . Develop and optimize AI pipelines (LLM, RAG, fine-tuning) Collaborate with product, engineering, and data teams to define and implement AI-driven features. Evaluate model performance and iterate to improve accuracy and efficiency. Mentor junior engineers and contribute to team best practices. Stay up to date with state-of-the-art AI technologies and research. Required Qualifications: Bachelors or master’s in computer science, AI, or related field. 5+ years of experience in AI/ML development . Experience working with LLMs, Agentic AI, RAG, and model fine-tuning Strong programming skills in Python and familiarity with frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with cloud platforms ( Azure preferred). Solid understanding of data preprocessing, model training, validation, and deployment.

Excellent with Python (scikit-learn, tensorflow, matplotlib, pandas, plotly, numpy) Excellent with Exploratory Data Analysis (EDA), Feature Engineering. Machine learning: Supervised, Unsupervised, Statistical Analysis & Time Series Modeling Deep Learning: LSTM, GRU for sequential data, Variational Autoencoders (VAEs) Generative AI: NLP, Transformers (BERT, GPT), LLM, Fine-tunning LLM, Vector Databases (FAISS, Postgres) Cloud Platform: GCP, Azure, AI Agents,RAG Tools & Frameworks: Hugging Face Transformers, LangChain or LlamaIndex, OpenAI API or similar LLM APIs, Streamlit or Gradio (for prototyping) Soft Skills & Other Requirements: Strong problem-solving and analytical thinking, Ability to communicate technical concepts to non-technical stakeholders, Experience working in cross-functional teams, Familiarity with data privacy and ethical AI practices.