Senior AI Engineer: Agentic AI, RAG & MCP (Onsite)

ReqRoute,Inc; Dearborn (MI); On-site; USD 140,000 - 190,000; Full time

Job summary

ReqRoute,Inc in Dearborn, MI, seeks a Senior AI Engineer to design, develop, and deploy Agentic AI solutions using MCP, RAG, and Python-based frameworks. The role will drive the creation of intelligent agents, orchestration frameworks, and enterprise AI applications.

You will design and develop Agentic AI solutions and autonomous workflows, build RAG-based enterprise knowledge systems, and develop AI agents using LLM orchestration frameworks.

Qualifications

• 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.

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.

Skills

Python

LLMs

Agentic AI architectures

RAG concepts

MCP

Prompt strategies

AI governance

Tools

LangChain

Semantic Kernel

AutoGen

CrewAI

Vector databases

Job description

ReqRoute,Inc in Dearborn, MI, seeks a Senior AI Engineer to design, develop, and deploy Agentic AI solutions using MCP, RAG, and Python-based frameworks. The role will drive the creation of intelligent agents, orchestration frameworks, and enterprise AI applications.

You will design and develop Agentic AI solutions and autonomous workflows, build RAG-based enterprise knowledge systems, and develop AI agents using LLM orchestration frameworks.