GeoSpatial Lead Analyst MAP - GSLANL

TekWissen•Dearborn, MI
•Onsite

About The Position

We are seeking a Senior AI Engineer to design, develop, and deploy next-generation Agentic AI solutions leveraging MCP, RAG, and Python-based AI development frameworks. The role will drive the creation of intelligent agents, orchestration frameworks, and enterprise AI applications.

Requirements

  • 10+ years of software engineering experience.
  • Strong proficiency in Python.
  • Hands-on experience with Large Language Models (LLMs).
  • Expertise in Agentic AI architectures.
  • Experience with RAG implementation and vector databases.
  • Knowledge of MCP (Model Context Protocol).
  • Experience with LangChain, Semantic Kernel, AutoGen, CrewAI, or similar frameworks.
  • Understanding of AI deployment, monitoring, and governance.

Nice To Haves

  • Experience with Azure OpenAI, OpenAI, Anthropic, or Gemini ecosystems.
  • Knowledge of MLOps and AI platform engineering.
  • Automotive domain experience.

Responsibilities

  • Design and develop Agentic AI solutions and autonomous workflows.
  • Build RAG-based enterprise knowledge systems.
  • Develop AI agents using LLM orchestration frameworks.
  • Implement MCP-based integrations and context management.
  • Engineer prompt strategies and reasoning workflows.
  • Collaborate with data engineers and business stakeholders.
  • Evaluate and integrate emerging GenAI technologies.
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