Senior AI Engineer (Agentic AI, MCP, RAG)

TechDigital Group; Dearborn (MI); On-site; USD 170,000 - 230,000; Full time

Job summary

TechDigital Group in the United States is seeking a Senior AI Engineer to design, develop, and deploy Agentic AI solutions, leveraging MCP, RAG, and Python-based AI frameworks to build intelligent agents and enterprise-grade applications. You will drive LLM orchestration, context management, and integration with data systems, collaborating with stakeholders to shape scalable AI platforms and governance.

This onsite role requires 10-15 years of software experience and hands-on knowledge of RAG,

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

RAG

MCP

LangChain

Semantic Kernel

AutoGen

CrewAI

Vector databases

Tools

LangChain

Semantic Kernel

AutoGen

CrewAI

Job description

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