Sr LangGraph Developer

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.

Locations:
Dallas(Primary), Charlotte(Secondary) - Hybrid mode(work from office 3 days a week)

• 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.

• 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).