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Intern Ai Agent Developer Jobs in Michigan (NOW HIRING)

Background in developer documentation, API documentation, or internal platform documentation * Familiarity with AI agent concepts -- tool use, orchestration, retrieval, and agent context protocols ...

Full-Stack Engineer

Birmingham, MI · On-site

$140K - $220K/yr

... AI agent. Many startups are attempting to attack this problem because the market is so big - $350B ... And our Head of Engineering was one of the earliest engineers at Figma. Full Stack Engineer ...

Full-Stack Engineer

Ann Arbor, MI · On-site

$140K - $220K/yr

... AI agent. Many startups are attempting to attack this problem because the market is so big - $350B ... And our Head of Engineering was one of the earliest engineers at Figma. Full Stack Engineer ...

Full-Stack Engineer

Birmingham, MI · On-site

$140K - $220K/yr

... AI agent. Many startups are attempting to attack this problem because the market is so big - $350B ... And our Head of Engineering was one of the earliest engineers at Figma. Full Stack Engineer ...

We are looking for a visionary and hands-on engineer to spearhead the quality assurance of our ... Contribute to projects such as testing AI chat assistants and copilots, validating AI agent ...

AI Software Engineer

Dearborn, MI · Hybrid

$115K - $192K/yr

At the same time, you'll act as a coach and change agent, guiding teams toward AI enabled world-class delivery processes and continuously raising both the floor and the ceiling of our engineering ...

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

... generative AI, and agent frameworks, making a significant impact on our products and the ... Strong programming skills in one or more of: Python, Java, C#, TypeScript/JavaScript. * Experience ...

Designing and delivering embedded artificial intelligence (AI) agent capabilities within Oracle ... Bachelor's degree or higher in computer science, information technology, software engineering ...

IT Co-Op

Novi, MI · On-site

$14.25 - $18.75/hr

... AI adoption strategies Participate in AI agent design, testing, and deployment aligned with ... Information Technology, Information Systems, Computer Science, Software Engineering, Data Science ...

GenAI Intern

Auburn Hills, MI

$14.25 - $19/hr

GenAI Intern We're looking for a GenAI Intern to help explore and build innovative AI solutions ... Basic Python or programming knowledge * Interest in Generative AI and emerging technologies

GenAI Intern

Auburn Hills, MI · On-site

$14.25 - $19/hr

GenAI Intern We're looking for a GenAI Intern to help explore and build innovative AI solutions ... Basic Python or programming knowledge * Interest in Generative AI and emerging technologies

Showing results 21-40

Intern Ai Agent Developer information

What does an Intern AI Agent Developer do?

An Intern AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, which are software programs capable of performing tasks that typically require human intelligence. Their responsibilities may include writing code, training machine learning models, analyzing data, and supporting senior developers in research or project work. Interns in this role gain hands-on experience with AI frameworks and tools while learning best practices in software engineering and artificial intelligence development.

What types of projects and tasks can an Intern AI Agent Developer expect to work on during their internship?

As an Intern AI Agent Developer, you will typically collaborate with experienced engineers and data scientists to design, develop, and test components of AI-driven systems. Your daily tasks may include writing and debugging code, assisting in training machine learning models, and running experiments to evaluate agent performance. Interns often contribute to documentation, participate in code reviews, and may even help implement features under supervision. This role provides a hands-on learning environment where you can develop both technical and teamwork skills, while gaining exposure to the latest AI development tools and practices.

What is the difference between Intern Ai Agent Developer vs Intern Machine Learning Engineer?

AspectIntern Ai Agent DeveloperIntern Machine Learning Engineer
Required CredentialsRelevant coursework, basic programming skills, familiarity with AI toolsRelevant coursework, programming skills, understanding of ML algorithms
Work EnvironmentTech companies, AI startups, research labsTech companies, research institutions, AI startups
Employer & Industry UsageAI development teams, chatbot and virtual assistant projectsData science teams, predictive modeling projects

Intern Ai Agent Developers focus on building and improving AI agents like chatbots and virtual assistants, often requiring knowledge of AI frameworks. Intern Machine Learning Engineers work on developing ML models for various applications, emphasizing data handling and algorithm implementation. Both roles are common in tech and AI industries, but they differ in specific focus areas and skill sets.

What are the key skills and qualifications needed to thrive as an Intern AI Agent Developer?

To thrive as an Intern AI Agent Developer, you need a solid understanding of programming languages like Python, basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree such as computer science. Familiarity with tools and frameworks such as TensorFlow, PyTorch, Git, and cloud platforms is typically expected. Curiosity, strong problem-solving skills, and the ability to collaborate within a team help you stand out. These skills are crucial for successfully contributing to AI projects, learning quickly in a dynamic field, and effectively supporting development teams.
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:
What cities in Michigan are hiring for Intern Ai Agent Developer jobs? Cities in Michigan with the most Intern Ai Agent Developer job openings:
Infographic showing various Intern Ai Agent Developer job openings in Michigan as of August 2026, with employment types broken down into 11% Internship, 56% Full Time, 22% Part Time, and 11% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution.

AI Software Engineer / Senior Technical Writer

ComResource

Detroit, MI

Full-time

Posted 7 days ago


Job description

ComResource is looking for a Senior Technical Writer.

Responsibilities:

  • Author knowledge entries, including service overviews, runbooks, decision records, schemas, specifications, and glossary terms drawn from workflows, policies, engineering standards, and technical documentation.
  • Write short descriptions and summaries that drive progressive disclosure, enabling AI agents to determine whether loading a full entry is worth the context cost.
  • Structure orientation paths so an agent onboarding to an unfamiliar domain encounters the mental model, entry points, and invariants first, and drills into detail only on demand.
  • Maintain hierarchy coherence across a growing catalog including cross-linking, indexing, reachability, and layered structure that keeps entries discoverable as the corpus scales.
  • Own the scoping metadata that routes entries to the right consumer in the right context.
  • Author and maintain prompt assets including reusable skills, agent instructions, and reference material consumed directly by production agents.
  • Codify engineering standards by turning review standards, security requirements, and platform conventions into structured, versioned rules that automated code review agents apply on every pull request.
  • Interview developers and engineers to capture the rationale behind decisions.
  • Advance entries through review and approval with engineering and governance partners to ensure only verified content reaches production consumers.
  • Govern vocabulary by maintaining the glossary and naming conventions and resolving terminology collisions before they propagate into schemas, tooling, and agent behavior.
  • Keep the catalog current by identifying and retiring stale entries as the systems they describe change.

Essentials:

  • 5–7 years of technical writing experience in software, platform, or infrastructure environments.
  • Demonstrated ability to produce accurate technical content from primary sources including code, configuration, specifications, and runbooks with limited handholding.
  • Strong information architecture instincts, including taxonomy, cross-linking, layered structure, and progressive disclosure.
  • Experience authoring reference material, standards, or specification documentation consumed by engineers.
  • Comfort working directly with developers and engineers, including the credibility to push back when source material is incomplete or contradictory.
  • Experience partnering with governance, risk, security, or compliance stakeholders.
  • Editorial discipline with consistency of terminology, voice, and structure maintained across many documents and contributors.
  • Familiarity with docs-as-code practices including Markdown, version control, and content that lives in a repository alongside the systems it describes.
  • Clear verbal communication skills with the ability to gather source material through conversation.
  • Writes with precision under hard length constraints.
  • Proficiency with Markdown, YAML, structured frontmatter, and schema validation.
  • Familiarity with Git and pull-request workflows including documentation validation and link-checking tooling.

Desired:

  • Hands-on experience writing prompts, agent instructions, or reusable skill definitions for LLM-based systems.
  • Understanding of context management techniques for AI agents including progressive disclosure, context window economics, and retrieval strategy.
  • Experience with structured content including YAML or JSON frontmatter validated against a schema, content models, or typed document formats.
  • Working comfort with Git and CLI-based authoring workflows.
  • Exposure to taxonomy design, ontologies, knowledge graphs, or controlled vocabularies.
  • Background in developer documentation, API documentation, or internal platform documentation.
  • Familiarity with AI agent concepts, including tool use, orchestration, retrieval, and agent context protocols such as MCP.
  • Reading-level familiarity with Python, TypeScript, Terraform, or YAML-based configuration.
  • Experience in banking, financial services, or another regulated industry.

Req ID: AM891999729