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AI Software Engineer

Brooksource
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AI Software Engineer

Dearborn, MI (4 days/week onsite)

$70,000 - $75,000

Full-Time (40 hours/week)

Start Date: ASAP (April 20th,2026)

 

**We are unable to provide sponsorship for this position**

 

As an entry-level Software Engineer for this Fortune 500 automotive company, you’ll be joining the department that is responsible for the integration of Artificial Intelligence and Machine Learning across the entire organization! 

You will not only help support the development of the newest AI technology and LLM platforms, but you’ll be growing your career in one of the most innovative and impactful departments in the whole enterprise. 

If you are passionate about building a career in the ever-evolving space of Artificial Intelligence, and are hoping to contribute to a bigger picture, this could be the perfect opportunity for you!

 

WHAT’S IN IT FOR YOU…?

  • Through our Elevate program, you’ll be provided paid technical training through our online learning management system, customized to help you specialize in areas you’re passionate about.
  • Opportunity to gain high visibility with upper management and learn from skilled senior engineers.
  • Position yourself for future growth and leadership opportunities within the organization.
  • Networking opportunities through Brooksource sponsored events like “Elevate Women” and manager-led Lunch & Learns
  • Competitive benefits and tuition reimbursement after conversion.

 

MINIMUM QUALIFICATIONS

  • In the last semester of or having earned a completed bachelor’s degree in a technical field (Computer Science, IT, etc)
  • Hands-on experience with OOP using Python
  • Experience with databases like noSQL or MongoDB
  • Exposure to cloud environments (AWS, GCP, etc)
  • BONUS: Experience creating LLM’s, building AI tools, etc.  

 

RESPONSIBILITIES

  • Help build and maintain the internal AI platform website used by employees across the organization
  • Develop no-code / low-code AI agents and workflows that allow teams to leverage LLM capabilities
  • Improve platform performance, reliability, and latency for AI-powered tools and applications
  • Support development of reusable AI workflows, prompt libraries, and automation tools
  • Assist with integrating LLM capabilities into internal systems and business workflows
  • Collaborate with senior engineers to test, evaluate, and improve AI-driven applications
  • Contribute to the evolution of an enterprise AI platform supporting tens of thousands of users