TekWissen LLC logo

Senior AI Engineer (Agentic AI, MCP, RAG)

TekWissen LLC

  • Dearborn, MI
  • 25 days ago
  • $55.71

Highlights

Our client is an American multinational information technology services and consulting company and is a leading provider of information technology, consulting, and business process outsourcing services, dedicated helping the world's leading companies build stronger businesses. TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions tour clients world-wide.

Numbers & Facts

LocationDearborn, MI
IndustryComputer/IT Services
Salary$55.71
Company Size100 to 499 employees
Year Founded2009
Websitehttp://www.tekwissen.com/

Description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions tour clients world-wide. Our client is an American multinational information technology services and consulting company and is a leading provider of information technology, consulting, and business process outsourcing services, dedicated helping the world's leading companies build stronger businesses.

Job Title: Senior AI Engineer (Agentic AI, MCP, RAG)
Location: Dearborn, MI
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite

Job Description:

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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.

Years of Experience

  • 10 15 Years of Experience.

TekWissen Group is an equal opportunity employer supporting workforce diversity.

About Company

WE THE TEKWISSEN PEOPLE

TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.

To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.

Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.

It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.

Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.



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