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Internship Ai Agent Developer Jobs in Michigan (NOW HIRING)

Agentic AI Engineer We are seeking a highly skilled Agentic AI Engineer to support advanced R&D ... This role centers on designing, building, and optimizing intelligent agent architectures powered by ...

Agentic AI, AI & Data Science Engineer

Detroit, MI · On-site

$113K - $136K/yr

Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito ... Vertex AI (e.g., Model Garden, Agent Builder, custom training); Gemini API and Google AI Studio;

Agentic AI Engineer We are seeking a highly skilled Agentic AI Engineer to support advanced R&D ... This role centers on designing, building, and optimizing intelligent agent architectures powered by ...

Sr. AI Engineer

Southfield, MI

$95K - $131K/yr

Our APEX team owns the AI and engineering platform that the rest of the company builds on, and we ... You will own the implementation of our agentic platform - the harness, the agent pipelines, the ...

Sr. AI Engineer

Southfield, MI · On-site

$95K - $131K/yr

Our APEX team owns the AI and engineering platform that the rest of the company builds on, and we ... You will own the implementation of our agentic platform - the harness, the agent pipelines, the ...

The AI Coding Product Leader defines the vision, strategy, and roadmap for coding agent capabilities across the Stellantis software engineering ecosystem. This role oversees platforms and agentic ...

Responsibilities : • Define and communicate a clear vision, strategy, and multi-year roadmap for coding agent capabilities aligned with Stellantis software engineering, AI, and digital ...

Showing results 41-60

Internship Ai Agent Developer information

What types of projects do internship AI agent developers typically work on?

Internship AI Agent Developers often work on practical projects such as building conversational bots, optimizing existing AI workflows, or developing small-scale machine learning models. These projects are designed to expose interns to real-world challenges, including data preprocessing, model evaluation, and team-based problem-solving. As part of a collaborative team, interns usually participate in code reviews, brainstorming sessions, and weekly stand-ups, offering many opportunities to learn from experienced developers and data scientists. This hands-on experience helps interns gain valuable technical and communication skills that are essential for a career in AI development.

What does an internship AI agent developer do?

An Internship AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, such as chatbots or virtual assistants. These interns typically work with machine learning models, natural language processing, and programming languages like Python. Their tasks may include coding, data preparation, model training, and evaluating agent performance. The role provides hands-on experience under the supervision of experienced AI engineers, helping interns build practical skills in AI development.

What are the key skills and qualifications needed to thrive as an internship AI agent developer?

To thrive as an Internship AI Agent Developer, a strong foundation in programming (especially Python), machine learning concepts, and data analysis is essential, typically supported by coursework or relevant project experience. Familiarity with frameworks like TensorFlow or PyTorch, version control systems such as Git, and exposure to AI development environments is highly valuable. Problem-solving skills, curiosity, and effective communication help interns stand out by enabling them to learn quickly and collaborate with teams. These abilities are crucial for contributing to innovative AI projects and efficiently adapting to a fast-paced, evolving technical environment.
What are the most commonly searched types of Ai Agent Developer jobs in Michigan? The most popular types of Ai Agent Developer jobs in Michigan are:
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Agentic AI Engineer

Optimal Inc.

Warren, MI • On-site

Full-time

Re-posted 4 days ago


Job description

Job Title: Agentic AI Engineer

We are seeking a highly skilled Agentic AI Engineer to support advanced R&D initiatives focused on next-generation AI agents and conversational intelligence systems. This role centers on designing, building, and optimizing intelligent agent architectures powered by large language models (LLMs) and advanced reasoning frameworks.

The ideal candidate brings a strong blend of machine learning expertise, systems thinking, and hands-on experience with agent-based architectures, and thrives in a fast-paced, research-driven environment.

Key Responsibilities

  • Design and develop agentic AI systems using GPT-style and other large language model architectures
  • Architect and optimize agent memory systems, including short-term, long-term, and retrieval-based memory
  • Implement multi-step reasoning, planning, and chain-of-thought pipelines for complex problem solving
  • Build scalable context management frameworks to support dynamic, multi-turn conversations
  • Develop text-to-structured-data pipelines for automated knowledge extraction and workflow automation
  • Collaborate with cross-functional R&D teams to integrate agent-based solutions into innovative products and research initiatives
  • Evaluate model performance and continuously improve accuracy, efficiency, and reasoning capabilities
  • Document system designs, experiments, and technical findings

Required Qualifications

  • 3-5 years of industry experience in AI/ML, LLM development, or agent-based systems
  • Strong hands-on experience with large language models (prompt engineering, fine-tuning, evaluation)
  • Experience building or working with agent frameworks, memory systems, or planning/reasoning architectures
  • Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques
  • Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow)
  • Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plus
  • Strong problem-solving skills and ability to work in research-oriented, collaborative environments

Required Education

  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • Experience contributing to research publications, open-source projects, or experimental AI platforms