Sr LangGraph + AgenticAI Developer

Gen AI Engineer

LOCATION:

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

• 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

Sr Lang Graph + AgenticAI Developer

Client is looking for a hands-on GenAI + Lang Graph candidate with strong expertise in GenAI Fundamentals, Prompt Engineering, LLM, Agentic AI, Agentic System Design, Lang Chain, Lang Graph, Monitoring, CI/CD process. Coding expertise with using AI agent is essential (part of evaluation).

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.

Nice to have skills:
Working knowledge with MCP servers, Google ADK.

• 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 to 15 years.

• 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).