GeoSpatial Sr.Analyst MAP - GSSANL

LOCATION: Dallas (Primary), Charlotte (Secondary) – Hybrid mode (work from office 3 days a week) Max Vendor Pay Rate: $100-$110 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 LangGraph + AgenticAI Developer 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).