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Full Stack Ai Engineer Jobs in Michigan (NOW HIRING)

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

Role Overview We are seeking a Senior Full Stack Engineer to design, develop, and support scalable ... Exposure to Generative AI / RAG / LLM-enabled applications Our Benefits -- Designed with You in ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

Role: Full Stack Developer Location: Okemos, MI or Farmington Hills, MI (Hybrid) Duration ... Github Copilot or other AI based development tools * CI/CD processes * DevOps methodologies * Unix ...

AI Engineer (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

AI Engineer (W2 Position) Location : Dearborn, MI (Hybrid) Duration: 12+ Months Experience: 8+ ... Cloud Platform, Full Stack, Python, Azure, Artificial Intelligence & Expert Systems Thanks ...

... AI/ML, Software Development, Technical Writing, and Digital Transformation. We partner with top ... Full Stack .NET Developer Location: Lansing, MI (Hybrid - Onsite 2 days/week, no remote option ...

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Showing results 1-20

Full Stack Ai Engineer information

See Michigan salary details

$38.8K

$117.5K

$166K

How much do full stack ai engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for full stack ai engineer in Michigan is $117,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $137,700.00 per year, depending on experience, location, and employer.

What is a Full Stack AI Engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do Full Stack AI Engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What are popular job titles related to Full Stack Ai Engineer jobs in Michigan? For Full Stack Ai Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Full Stack Ai Engineer jobs in Michigan look for? The top searched job categories for Full Stack Ai Engineer jobs in Michigan are:
What cities in Michigan are hiring for Full Stack Ai Engineer jobs? Cities in Michigan with the most Full Stack Ai Engineer job openings:
Infographic showing various Full Stack Ai Engineer job openings in Michigan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $117,465 per year, or $56.5 per hour.
Full-Stack Data Engineer

Full-time

Re-posted 4 days ago


Job description

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS

MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong passion for designing, optimizing, refactoring, and upgrading complex data solutions! MOTOR's primary product is Automotive Content, and we need someone who can help us support our Insights-based product suite.

We are looking for someone who wants to be part of our mission to transform the future. We have a rare opportunity for you to use your talent, passion, and expertise to help drive this massive change in how we build our user experience across our product lines, and how consumers experience the MOTOR Product Platform.

This position offers excellent career growth and promotional opportunities, stellar compensation, and the ability to work with the world's premier provider of aftermarket automotive data. Hearst/MOTOR Information Systems will be the best and last place you'll ever work!

Required Experience (Must Have)

  • Expert Python Developer

  • Strong SQL Developer

  • Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift)

  • Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet)

  • Strong Automation Experience 

  • Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) 

  • Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)

  • Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)

  • Experience with Git and Azure DevOps

  • Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks)

  • Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray)

Helpful Experience (Nice to Have)

  • Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases

  • Experience with Automotive Data / Industry

  • Experience with Agile / Scrum

Primary Responsibilities

  • Analyze large, and complex, data sets
  • Design, develop and coordinate the generation of Data Pipelines
  • Work collaboratively with team to plan and solve complex problems
  • Design for, or optimize existing pipelines, for performance and cost

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