We are seeking a highly experienced Senior LangGraph Developer to architect and implement advanced agentic workflows using LangGraph.
This role requires deep expertise in building stateful, multi-agent systems that leverage LLMs for complex decision-making, orchestration, and automation.
The ideal candidate will design resilient, scalable LangGraph architectures powering intelligent applications across diverse domains.
Key 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 LLM platforms 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 concepts into robust LangGraph implementations.
Required Qualifications
- 8+ years of experience in software engineering, with at least 3–4 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.
- Hands-on experience with LangChain, OpenAI, Anthropic, or similar LLM platforms.
- Strong knowledge of workflow debugging, graph visualization, and LangGraph Studio.
- Proven ability to build production-grade agentic systems with high reliability and fault tolerance.