Sr LangGraph + AgenticAI Developer Only W2

Job Title: Sr LangGraph AgenticAI Developer
Location : Dallas TX// Charlotte NC

W2 Position

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 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 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.

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

Key Responsibilities:

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.

Experience: 10 to 15 Yrs

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 with using AI agent is very essential 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).

Years of Experience: 14.00 Years of Experience