Sr LangGraph + AgenticAI Developer
Listed on 2026-07-01
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Software Development
AI Engineer (Applied/Software), Backend Developer, Software Architect, Machine Learning/ ML Engineer
Job Summary:
We are looking for a highly experienced and technically elite Senior Lang Graph Developer to architect and implement cutting-edge agentic workflows using Lang Graph. 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 Lang Graph architectures that power intelligent applications across domains.
Nice to have skills:
Working knowledge with MCP servers, Google ADK
Key Responsibilities:
• Design and implement advanced Lang Graph 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 Lang Graph graphs in production environments.
• Integrate Lang Graph with external APIs, databases, and LLMs to create seamless, intelligent pipelines.
• Mentor junior developers and establish best practices for Lang Graph development.
• Collaborate with AI researchers and product teams to translate abstract ideas into robust Lang Graph implementations.
• Design , create and deploy AgenticAI models at production level.
Experience:
10 to 15 Yrs
Client is looking for - Hands on GenAI + Lang Graph candidate assuming should be very good with GenAI Fundamentals, Prompt Engineering, LLM, Agentic AI, Agentic System Design, Lang Chain, Lang Graph, Monitoring , CI/CD process. Coding expertise with using AI agent is very essential 10+ years in software engineering , with at least 2+ years in Lang Graph 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 Lang Chain, OpenAI, Anthropic, or similar LLM platforms .
• Strong grasp of workflow debugging, graph visualization, and Lang Graph 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).
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