Description

You will architect and implement agentic workflows using LangGraph.

Responsibilities

• Design and implement advanced LangGraph workflows with complex node logic, branching, and memory management.
• Lead 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 intelligent pipelines.
• Mentor junior developers and establish best practices for LangGraph development.

Required Skills

• 8+ years in software engineering, with 3-4 years in LangGraph or agentic frameworks.
• Expert proficiency in Python and asynchronous programming.
• Deep understanding of LLM orchestration, memory management, and stateful agent design.
• Experience with LangChain, OpenAI, or Anthropic.
• Strong grasp of workflow debugging, graph visualization, and LangGraph Studio.
• Proven ability to build production-grade agentic systems with fault tolerance.

Key Skills

Education

Any Graduate