320 Langgraph Jobs

We are hiring a visionary AI Solution Designer & Implementor for a permanent or contract remote role The ideal candidate will have 10-13 years of IT experience with deep expertise in AI/ML, Generative AI, LLMs, and Agentic AI The role involves designing, developing, and deploying enterprise-scale AI/ML systems across Retail Analytics Engineering Platforms, including intelligent agent-based architectures and RAG systems The position requires full-time availability (2:00 PM 11:00 PM IST) and immediate joining Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad,Remote

Design & deploy GenAI apps, build agent workflows, apply prompt engineering, develop speech/vision solutions, full-stack (React/Next.js, Node.js), research, and collaborate on global AI projects. Food allowance Provident fund

About the Role: We are seeking an enthusiastic AI/ML Engineer to join our team, with strong skills in Python, Generative AI frameworks, and scalable cloud deployment . You will work on cutting-edge LLMs and open-source AI models , fine-tune them for business applications, and deploy them seamlessly on AWS and containerized environments . This role is suited for freshers with strong project work as well as early-career professionals looking to grow in LLM development, MLOps, and enterprise AI deployments . Key Responsibilities: Develop and deploy scalable APIs/microservices using Flask and FastAPI . Work with state-of-the-art LLMs (Gemini, GPT-4/4o, LLaMA 3, Mistral, Mixtral, Falcon, Claude) ...

We are hiring a visionary AI Solution Designer & Implementor for a permanent or contract remote role. The ideal candidate will have 10-13 years of IT experience with deep expertise in AI/ML, Generative AI, LLMs, and Agentic AI. The role involves designing, developing, and deploying enterprise-scale AI/ML systems across Retail Analytics Engineering Platforms, including intelligent agent-based architectures and RAG systems. The position requires full-time availability (2:00 PM 11:00 PM IST) and immediate joining. Location - Remote,Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune.

About Zocket At Zocket, we are pioneering the future of marketing by harnessing the power of Artificial Intelligence to transform how businesses automate and scale their workflows. Our mission is bold yet simple: to streamline decision-making, dramatically reduce manual effort, and empower marketers to achieve superior results with minimal human intervention . This vision is powered by our cutting-edge Agentic AI systems next-generation intelligent agents designed not just to assist, but to autonomously execute complex marketing tasks at scale. About the Role: AI/ML Engineer As an AI/ML Engineer at Zocket , you will play a pivotal role in designing, building, and optimizing intelligent syste...

As a Senior GenAI Engineer at NTT DATA in Delhi, Haryana (IN-HR), India, your role will involve designing, building, and productionizing GenAI and agentic systems on hyperscalers like Azure, AWS, and GCP. You will lead the development lifecycle from problem framing to MLOps deployment, while also mentoring junior engineers and collaborating with product, design, and clients. Key Responsibilities: - Design & build GenAI/agentic systems including chat copilots, workflow/graph agents, and tool use - Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/evaluation - Select, integrate, and finetune LLMs & multimodal models - Apply prompt-enginee...

As a GCP Python Gen AI LLM RAG Vertex AI at NTT DATA in Hyderabad, Telangana, India, you will be responsible for working with cutting-edge technologies and contributing to innovative projects. Your role will involve the following key responsibilities: - 4+ years of Software Engineering experience with a strong foundation demonstrated through work experience, training, military experience, or education. - 2+ years of hands-on experience working with GCP (Google Cloud Platform) or alternate public/hybrid cloud services, showcasing a track record of delivering products at scale. - Proficiency in Python with a minimum of 2 years of experience. - Expertise in GenAI, LLMs, RAG, vector databases, a...

Role Overview: You will be responsible for building agentic workflows using modern LLM orchestration framework to automate and optimize complex business processes in the Travel domain. As an Individual contributor (IC), you will own end-to-end development of intelligent agents and services that power customer experiences, recommendations, and backend automation. Your role will involve designing and implementing agentic and autonomous workflows using frameworks such as LangGraph, LangChain, and CrewAI. You will also be translating business problems in the Travel domain into intelligent LLM powered workflows, owning at least two AI use case implementations from design to production deployment....

We are looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Clients GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Client GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. Required skills 5+ years of professional experience in building Machine Learning models & systems 2+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering,...

Job Title: AI/ML Engineer Experience: 4 To 8 Years Location: Bangalore Key Responsibilities Design, build, and optimize AI/ML solutions for enterprise applications. Develop Generative AI applications with workflows such as RAG Build and deploy AI agents using frameworks like LangGraph, Crew, or PydanticAI . Implement LLM integration and optimize Prompt Engineering workflows (Eg ., GPT, Claude, LLaMA). Collaborate with cross-functional teams to integrate AI solutions into production systems. Utilize Databricks, REST APIs, WebSockets, and event-driven architectures for scalable deployments. Ensure adherence to SDLC best practices, CI/CD pipelines (Jenkins), and Git-based workflows. Leverage AI...

Candidate Specifications : 6+ years, Notice Period - Immediate to 30 days Develop and orchestrate AI workflows using LangGraph and LangChain. Design and implement multi-agent systems and tool orchestration for enterprise use cases. Build and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (Pinecone, Weaviate, ChromaDB, FAISS). Integrate LLMs from OpenAI, Anthropic, Hugging Face, Cohere, or Azure OpenAI. Build backend services and APIs (FastAPI/Flask) for deploying AI-powered applications. Ensure data security, prompt safety, and guardrails for responsible AI deployments. Deploy and monitor applications on cloud platforms (AWS, Azure, GCP). Implement CI/CD pipeli...

Position Summary We are seeking an AI Engineer to lead the development of an agentic AI platform for audio content. This role involves architecting, training, and deploying intelligent agents that can autonomously handle audio content production, personalisation, and interactive experiences. You'll be responsible for building context engines, implementing custom agent frameworks using LangChain and LangGraph, and integrating STT/TTS systems with LLMs to create seamless voice-first AI experiences. Key Responsibilities Design intelligent agents for audio content creation and personalization. Develop multi-agent workflows for collaborative audio production. Implement Speech-to-Text (STT) for tr...

Key Responsibilities: Architect, build, and deploy scalable GenAI applications using OpenAI, and Retrieval-Augmented Generation (RAG) techniques. Design and orchestrate modular, reproducible, and robust data pipelines leveraging Kedro for end-to-end machine learning workflows. Integrate LangChain to develop advanced natural language workflows and enhance AI-powered applications. Take GenAI prototypes from concept to production, ensuring reliability, scalability, and maintainability in real-world environments. Containerize machine learning and GenAI solutions with Docker for seamless deployment and scalability across cloud and on-premises platforms. Collaborate with cross-functional teamsincl...

Primary Title: Senior LLM Engineer (4+ years) Hybrid, India About The Opportunity A technology consulting firm operating at the intersection of Enterprise AI, Generative AI and Cloud Engineering seeks an experienced LLM-focused engineer. You will build and productionize LLM-powered products and integrations for enterprise customers across knowledge management, search, automation, and conversational AI use-cases. This is a hybrid role based in India for candidates with strong hands-on LLM engineering experience. Role & Responsibilities Own design and implementation of end-to-end LLM solutions: data ingestion ? retrieval (RAG) ? fine-tuning ? inference and monitoring for production workloads. ...

Primary Title: Senior LLM Engineer (4+ years) Hybrid, India About The Opportunity A technology consulting firm operating at the intersection of Enterprise AI, Generative AI and Cloud Engineering seeks an experienced LLM-focused engineer. You will build and productionize LLM-powered products and integrations for enterprise customers across knowledge management, search, automation, and conversational AI use-cases. This is a hybrid role based in India for candidates with strong hands-on LLM engineering experience. Role & Responsibilities Own design and implementation of end-to-end LLM solutions: data ingestion ? retrieval (RAG) ? fine-tuning ? inference and monitoring for production workloads. ...

Responsibilities: Developing AI-powered servers and databases Designing intelligent user interactions and AI-enhanced interfaces Implementing agentic AI workflows and multi-step reasoning systems Deploying and maintaining production-grade AI systems

As a highly skilled Gen AI Engineer with 1 to 3 years of experience and hands-on expertise in building and deploying AI agents, you will be responsible for architecting, developing, and deploying intelligent agents that automate workflows, integrate with APIs and CRMs, and deliver real-time decision-making capabilities. - Design, build, and deploy AI agents using LangChain, LangGraph, OpenAI Assistants, and CrewAI. - Develop modular, scalable pipelines for retrieval-augmented generation (RAG), tool integrations, and multi-agent collaboration. - Integrate agents with databases, CRMs, APIs, and external systems. - Optimize prompt engineering, memory, and context management. - Implement LLM orc...

As a Senior GenAI / Agentic AI Specialist with 6-8 years of overall experience in AI/ML, including at least 2 years of hands-on expertise in Generative AI and agentic AI systems, your role will involve working with advanced AI models, designing agent workflows, and integrating AI systems into enterprise environments with a focus on scalability, security, and responsible AI practices. Key Responsibilities: - Work with Generative AI technologies including LLMs, diAusion models, and enterprise applications. - Develop and optimize agentic workflows, including multi-agent collaboration and orchestration. - Design and implement Generative AI solutions tailored for enterprise use cases. - Integrate...

You are a hands-on Full-Stack Developer with expertise in building and deploying modern web applications. Your role involves working on front-end interfaces and back-end services to create applications that integrate with Generative AI platforms. You will be responsible for designing, developing, and maintaining full-stack applications using ReactJS for the front end and NestJS with TypeORM for the back end. You will also build and deploy APIs and services with Azure Container Apps, integrate with Generative AI platforms using LangChain and LangGraph, and manage Cloudflare Worker integrations for performance and security. Your code should be clean, secure, and maintainable in TypeScript, fol...

Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai , LangChain , and LangGraph . You will work at the intersection of LLMs , Retrieval-Augmented Generation (RAG) systems, and NLP , enabling impactful AI applications across diverse domains. Key Responsibilities Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph). Own the AI solution lifecycle , including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring. Develop scalable AI backends and pipelines using ...

GEP Solutions is Hiring Tech Roles | Hybrid | Product Team Join our high-impact product engineering team at GEP Solutions- Global Leader in AI Powered Procurement & Supply Chain Transformation , where we build intelligent, scalable solutions used by global enterprises. 1 MEAN Stack Developer (AI/ML) Location: Hyderabad (Hybrid) MEAN (MongoDB, Express, Angular, Node.js) Experience with AI/ML , LangGraph , Vector DBs 212 years 2 .NET Fullstack Developer Location: Hyderabad / Mumbai (Hybrid) .NET Core, MVC Angular 2+ [Mandate] 212 years Who were looking for: Product-minded engineers Hands-on with modern tech Strong in scalable architecture Apply now: TechTA@gep.com Subject: Role – Location (e.g...

Profile : Machine Learning (Automation Developer) Experience: 6 -10 Years Location : Chennai //Hyderabad // Bangalore Notice Period: Immediate // Serving Mandatory Skill: Machine Learning (ML) , RAG , Python, NLP , FastAPI Strong theoretical understanding of Machine learning algorithms , deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing te...

As an AI Agent Engineer, your role involves designing, building, and deploying intelligent agents to automate complex workflows. Your focus will be on developing and implementing agent orchestration strategies for seamless multi-agent interactions, managing agent state and memory systems, integrating tool/function calling, and writing efficient code using Python asyncio. Key Responsibilities: - Design, build, and deploy intelligent agents to automate complex workflows. - Develop and implement agent orchestration strategies for seamless multi-agent interactions. - Manage agent state and memory systems for persistent, long-running processes. - Integrate and utilize tool/function calling to ext...

As a Transformation Lead at Capgemini Invent, you will play a key role in driving the organization's journey towards intelligent, scalable, and AI-augmented systems. Your responsibilities will include: - Designing and building secure, scalable applications using Azure services like App Services, Functions, and Azure DevOps. - Implementing GenAI solutions using frameworks such as LangChain, LangGraph, Autogen, crewAI, or OpenAI Agent SDK to orchestrate multi-step reasoning and agent workflows. - Delivering AI-powered solutions for production use cases such as intelligent document processing, automated content generation, enterprise search assistants, and decision-support systems, employing te...

Job Description : Generative AI Developer (1- 4 Years) We are looking for a talented Generative AI Developer with 1- 4 years of experience to join our team and contribute to building next-generation AI-driven applications. The ideal candidate will have strong expertise in Python, AI agents, RAG pipelines, and practical experience across machine learning, deep learning, NLP, and computer vision. You will work on designing, developing, and deploying generative AI systems in production. Role & responsibilities Design, develop, and optimize AI agent workflows, including multi-agent systems and agentic RAG pipelines. Implement and maintain solutions using frameworks such as LangChain, LangGraph, ...