GeoSpatial Lead Analyst MAP - GSLANL

Senior AI Engineer (Agentic AI, MCP, RAG)
Max Vendor Rate: ####
Location: Onsite. Dearborn, MI

JD:
Senior AI Engineer (Agentic AI, MCP, RAG) - Onsite
Experience: 10-15 Years
Location: Onsite
Job Summary
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
Key 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.
Required Skills
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.
Preferred Skills
Experience with Azure OpenAI, OpenAI, Anthropic, or Gemini ecosystems.
Knowledge of MLOps and AI platform engineering.
Automotive domain experience.

Top Skills:
AI, LLM, RAG
Agentic AI
Python, MCP