Job Summary:
We are looking for a highly experienced and technically elite Senior LangGraph Developer to architect and implement cutting-edge agentic workflows using LangGraph. This role demands deep expertise in building stateful, multi-agent systems that leverage LLMs for complex decision-making, orchestration, and automation. You will be responsible for designing resilient, scalable LangGraph architectures that power intelligent applications across domains.
Nice to have skills: Working knowledge with MCP servers, Google ADK
Key Responsibilities:
• Design and implement advanced LangGraph workflows with complex node logic, branching, and memory management.
• Lead the development of agentic systems that interact, reason, and adapt dynamically.
• Optimize performance and scalability of LangGraph graphs in production environments.
• Integrate LangGraph with external APIs, databases, and LLMs to create seamless, intelligent pipelines.
• Mentor junior developers and establish best practices for LangGraph development.
• Collaborate with AI researchers and product teams to translate abstract ideas into robust LangGraph implementations.
• Design , create and deploy AgenticAI models at production level.
Experience: 10 to 15 Yrs
Client is looking for - Hands on GenAI + LangGraph candidate assuming should be very good with GenAI Fundamentals, Prompt Engineering, LLM, Agentic AI, Agentic System Design, LangChain, LangGraph, Monitoring , CI/CD process. Coding expertise with using AI agent is very essential 10+ years in software engineering , with at least 2+ years in LangGraph or agentic frameworks .
• Expert-level proficiency in Python , asynchronous programming, and graph-based computation.
• Deep understanding of LLM orchestration , memory management, and stateful agent design.
• Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms .
• Strong grasp of workflow debugging, graph visualization, and LangGraph Studio .
• Proven ability to build production-grade agentic systems with high reliability and fault tolerance.
• Proficient with AgenticAI models.
• Vetted with Evaluation metrics(RAG, Batch processing, AgenticAI).