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Ai Workflows Jobs in Michigan (NOW HIRING)

AI Engineer

Detroit, MI · On-site

$50K - $112K/yr

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

AI Engineer

Grand Rapids, MI · On-site

$50K - $112K/yr

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

Your primary focus will be to ensure seamless embedding, adaptation, and validation of our end-to-end AI model on customer systems, working across embedded software layers, AI deployment workflows ...

Growth Strategist

Grand Rapids, MI · On-site +1

$116K - $150K/yr

The AI workflows you build let you run more accounts than one strategist normally could. You forecast where an account is headed and then hit the number. Founders can check your track record on that.

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Infographic showing various Ai Workflows job openings in Michigan as of August 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Software Engineer III

FEDRUS GLOBAL LLC

Farmington Hills, MI • On-site

Other

Posted 4 days ago


Job description

  • 5–8 years of professional software engineering experience.

  • Strong production software development experience using Python.

  • Strong production software development experience using TypeScript.

  • Demonstrated experience designing and building backend services and APIs.

  • Strong experience delivering production systems in AWS.

  • Hands-on experience with AWS services such as Lambda, Fargate/ECS, and API Gateway.

  • Strong production experience with Terraform and Infrastructure as Code.

  • Experience designing systems that operate across multiple services or distributed system boundaries.

  • Experience defining interfaces, contracts, reusable components, or engineering patterns used by other development teams.

  • Experience with LLM integrations or GenAI-enabled applications.

  • Familiarity with AI safety and LLM integration concepts such as:

    • Prompt-injection detection

    • Guardrail design

    • Input validation

    • Output filtering

    • Policy enforcement

  • Experience designing or building agentic workflows, multi-step AI workflows, or multi-agent systems.

  • Understanding of distributed-system concerns including dependencies, failure propagation, retries, resiliency, and contract stability.

  • Ability to mentor engineers and communicate defensive software engineering practices.

  • Strong written and verbal technical communication skills.