Sr LangGraph + AgenticAI Developer

Job Description:

LOCATION:

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

Evaluation Procedure:

* 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 Title:

Sr Lang Graph + AgenticAI Developer
Client is looking for - Hands on GenAI + Lang Graph candidate assuming should be very good with 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 very essential (which is part of evaluation)

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.

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

Key Responsibilities:

" 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.

Experience:

10 to 15 Yrs

Client is looking for - Hands on GenAI + Lang Graph candidate assuming should be very good with 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 very essential 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). Years of

Experience:

14.00 Years of Experience