Sr LangGraph Developer TX location

Client needs a GenAI background candidate who is strong with AI fundamentals, really worked into different use cases and can code without AI assistance. Since we faced many issues with candidates taking external help during interviews and were caught during client round , we have a mandate to have the internal + client round in -person. Client is looking for - Hands on GenAI + LangGraph candidate assuming should be very good with GenAI Fundamentals, Prompt Engineering, LLM, Agentic AI, Agentic System Design, LangChain, LangGraph, Monitoring , CI/CD process. Coding expertise without using AI agent is very essential( which is part of evaluation) Way it goes -

• Round 1(video 30 minutes) - Checking potentiality of candidate according to requirement.
• Round 2 (in-person Dallas/Charlotte client office) - Some additional theoretical + coding challenge( without AI assistance- pseudo, look alike which includes tool calling and intent routing)

• Client Round (in-person Dallas/Charlotte client office) - Technical + Coding Job Summary: We are looking for a highly experienced and technically elite Senior LangGraph Developer to architect and implement cutting-edge agentic workflows using LangGraph. 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 LangGraph 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 LangGraph 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 LangGraph graphs in production environments.
• Integrate LangGraph with external APIs, databases, and LLMs 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 ideas into robust LangGraph implementations.
• Design , create and deploy AgenticAI models at production level.

• 10+ years in software engineering , with at least 2+ 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.
• Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms .
• Strong grasp of workflow debugging, graph visualization, and LangGraph 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).