Compunnel, Inc.
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr