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Generative Ai Engineer Internship Jobs in Michigan

AI engineer

Dearborn, MI ยท On-site

$89K - $122K/yr

AI engineer Location: Dearborn, MI,48120- 2 days onsite in a week Employment Type: Full-time ... Experience with Generative AI - LLM and building frontend with React / Chainlit / Streamlit.

Role:: AI Engineer/ Developer Location: Okemos, MI (onsite/ Hybrid) Duration: 12 months+ Rate ... Rapidly prototype applications that demonstrate new capabilities in LLMs or generative AI

Midlevel AI Developer

Ann Arbor, MI ยท On-site

$50 - $55/hr

As an AI Engineer, you will design, develop, and deploy AI-powered applications and services that ... Build and integrate Generative AI solutions using Large Language Models (LLMs). Develop AI agents ...

AO Engineer III

Pontiac, MI ยท On-site

$110 - $160/hr

United Wholesale Mortgage is hiring an AI Engineer III for a 100% on-site position in Pontiac, MI. Duties * Conduct research on cutting-edge techniques in the field of generative AI. * Collaborate ...

New

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... generative AI tools. - Experience building applications, automations, internal tools, scripts ...

The Applied AI Engineer turns ideas into production-ready AI solutionsspanning feasibility, data ... Build and productionize machine learning and generative AI solutions that address prioritized ...

You will drive innovation in Generative AI, lead the evolution toward agentic AI systems, and ... Software Engineering & AI System Architecture * Design and build scalable AI/ML systems with a ...

AI Engineer

Detroit, MI

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Machine Learning Engineer 3

Dearborn, MI ยท On-site

$105K - $126K/yr

Stay current with advancements in AI, Generative AI, Agentic AI, and MLOps to continuously improve ... Strong programming experience in Python, including backend development, API design, automation, and ...

Software Engineer

Auburn Hills, MI ยท On-site

$70 - $100/hr

Support the development and deployment of Generative AI solutions, including AI assistants ... Academic, internship, capstone project, or personal project experience in software development is ...

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Generative Ai Engineer Internship information

What is a generative AI engineer internship?

A Generative AI Engineer Internship is a temporary position where interns work on developing and optimizing AI models that generate content, such as text, images, or code. Interns typically assist in training, fine-tuning, and testing deep learning models, often using frameworks like TensorFlow or PyTorch. They may also work with large datasets, implement prompt engineering, and collaborate with researchers or engineers. This role provides hands-on experience in machine learning, model deployment, and AI ethics, helping interns build expertise in the field.

What kinds of projects or tasks do generative AI engineer interns typically work on during their internship?

Generative AI Engineer Interns usually contribute to projects involving model architecture development, data preprocessing, and evaluation of generative algorithms for tasks like text, image, or audio synthesis. Interns often collaborate closely with senior engineers and data scientists, participate in code reviews, and assist in optimizing model performance or preparing proofs of concept for new generative applications. You may also be involved in researching state-of-the-art methods and presenting your findings to the team. These experiences offer valuable hands-on exposure and are designed to prepare you for a future full-time role in AI engineering.

What are the key skills and qualifications needed to thrive in the generative AI engineer internship position, and why are they important?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, deep learning frameworks, and experience with programming languages such as Python. Familiarity with tools like TensorFlow, PyTorch, and version control systems is often expected, and relevant coursework or certifications in AI or data science are advantageous. Strong problem-solving abilities, communication skills, and eagerness to learn help distinguish top candidates in collaborative, fast-paced environments. These skills are vital for effectively developing, testing, and iterating on generative models that address real-world challenges.

What are the most commonly searched types of Generative Ai Engineer jobs in Michigan?

The most popular types of Generative Ai Engineer jobs in Michigan are:

What job categories do people searching Generative Ai Engineer Internship jobs in Michigan look for?

The top searched job categories for Generative Ai Engineer Internship jobs in Michigan are:

What cities in Michigan are hiring for Generative Ai Engineer Internship jobs?

Cities in Michigan with the most Generative Ai Engineer Internship job openings:

Senior Generative AI & Agent Engineer

Advent Global Solutions, Inc.

Detroit, MI โ€ข On-site

$50.50 - $65.25/hr

Other

Posted 3 days ago

New


Job description

Senior Generative AI & Agent Engineer

Location: Detroit, MI(Hybrid Onsite)

Duration: Contract

Highly experienced, hands-on AI Engineer to build intelligent agents for the Client Inspection Automation initiative. The solution will analyze complex documents, extract relevant information, evaluate findings, and generate accurate, explainable scores.

Key Requirements

  • Proven experience delivering multiple production-grade AI solutions
  • Deep expertise in RAG, LLM-powered chatbots, document extraction, and custom AI agents
  • Experience designing document review, scoring, and decision-support workflows
  • Strong knowledge of AI deployment, monitoring, security, and governance
  • Ability to produce traceable, explainable, and auditable AI outputs
  • Excellent communication skills
  • Ability to train and transfer knowledge to team members

This is a hands-on contract role requiring both strong technical execution and effective collaboration with business and technical stakeholders.