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Ai Agent Engineer Jobs in Michigan (NOW HIRING)

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 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 ...

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 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 ...

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

This is an AI engineering role focused on agent orchestration, tool-calling, RAG/context retrieval, evaluation, and safety guardrails-enabling autonomous planning, logistics, and operations decisions ...

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 ...

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

We are seeking a Principal AI Engineer with deep, hands-on experience in Large Language Models ... Agent-based architectures * Retrieval-Augmented Generation (RAG) systems * Internal AI services and ...

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Ai Agent Engineer information

See Michigan salary details

$22

$46

$66

How much do ai agent engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai agent engineer in Michigan is $46.74, according to ZipRecruiter salary data. Most workers in this role earn between $37.69 and $54.28 per hour, depending on experience, location, and employer.

What is an AI Agent engineer?

An AI Agent Engineer designs, develops, and optimizes autonomous AI agents that can perceive, reason, and act within digital or real-world environments. They work with machine learning, reinforcement learning, and natural language processing to build intelligent systems that interact dynamically with users and other agents. These engineers often integrate AI models with APIs, databases, and software applications to create functional and scalable AI-driven solutions. Their role bridges software engineering and artificial intelligence, ensuring agents operate efficiently and adaptively in various use cases.

What are some typical challenges faced by AI Agent engineers in their day-to-day work?

AI Agent Engineers often encounter challenges such as optimizing agent performance for real-time environments, integrating new algorithms without disrupting existing systems, and ensuring their models can handle diverse and dynamic real-world data. Troubleshooting unexpected behaviors or edge cases and keeping up with rapidly evolving research in artificial intelligence can also be demanding. Working closely with product managers, data scientists, and software developers helps address these challenges, making collaboration and adaptability key components of daily tasks. Overcoming these issues offers valuable learning opportunities and contributes to the growth of robust, innovative AI solutions.

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

To excel as an AI Agent Engineer, you need a robust background in computer science, machine learning, and software engineering, often supported by a degree in a STEM field. Familiarity with programming languages like Python, relevant AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically expected, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and teamwork skills are essential soft skills for collaborating on complex AI projects. These competencies ensure you can design, implement, and refine intelligent agents that meet real-world challenges and deliver business value.

What are the most commonly searched types of Ai Agent Engineer jobs in Michigan? The most popular types of Ai Agent Engineer jobs in Michigan are:
What are popular job titles related to Ai Agent Engineer jobs in Michigan? For Ai Agent Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Agent Engineer jobs in Michigan look for? The top searched job categories for Ai Agent Engineer jobs in Michigan are:
What cities in Michigan are hiring for Ai Agent Engineer jobs? Cities in Michigan with the most Ai Agent Engineer job openings:
Infographic showing various Ai Agent Engineer job openings in Michigan as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $97,228 per year, or $46.7 per hour.

AI Software Test Engineer (SDET)

Aquent

Ann Arbor, MI • On-site

$42.06 - $46.73/hr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

Placement Type:
Temporary
Salary:
$42.06-46.73 Hourly
W2
Start Date:
Jul 13, 2026
Partnering with Aquent, we are excited to connect top talent with a leading organization at the forefront of financial innovation. This institution is dedicated to building secure, reliable, and cutting-edge solutions that empower millions of users to achieve their financial goals. Join a team that is shaping the future of technology within the financial industry, driving impact through advanced engineering and a commitment to excellence.
Are you ready to dive into the exciting world of Artificial Intelligence and make a tangible impact on the next generation of intelligent systems? We are looking for a visionary and hands-on engineer to spearhead the quality assurance of our groundbreaking AI-powered applications, machine learning systems, AI agents, and generative AI solutions. In this pivotal role, you will be instrumental in ensuring that our AI systems are not just innovative, but also reliable, safe, accurate, and performant, directly contributing to the trust and success of our advanced technology initiatives.
Your Impact & Key Responsibilities
As a critical contributor, you will own the end-to-end testing and automation efforts for robust AI solutions. You'll collaborate closely with AI developers, architects, and product teams to guarantee production-quality AI. Your work will directly reduce regression defects, improve confidence in AI model behavior, and enable the safe, scalable delivery of AI-powered features that meet stringent quality, security, and governance requirements. This role offers significant opportunities for innovation and collaboration across diverse teams, directly shaping the reliability and success of cutting-edge AI technologies.
  • Develop and implement comprehensive testing strategies for AI applications, platforms, and services.
  • Validate AI model outputs for accuracy, consistency, reliability, and safety, performing adversarial, negative, and edge-case testing to identify potential failures and hallucinations.
  • Design and execute functional, integration, end-to-end, regression, and performance tests specifically tailored for AI solutions.
  • Create intricate test cases for prompt-driven, agentic, and retrieval-based AI workflows, ensuring robust validation of AI guardrails, business rules, permissions, and governance controls.
  • Build and maintain advanced automated test frameworks and evaluation pipelines for AI responses and workflows, integrating AI testing seamlessly into continuous integration/continuous delivery (CI/CD) pipelines.
  • Implement automated quality scoring and regression detection mechanisms, and create reusable test data, mocks, simulators, and validation frameworks.
  • Test AI agents, workflows, APIs, complex system integrations, and tool-calling capabilities, validating integrations with external systems, data sources, and enterprise services.
  • Verify performance, reliability, scalability, and resiliency of AI workloads, including executing load and stress testing for AI services.
  • Collaborate proactively with software engineers, AI engineers, product owners, architects, and security teams, providing critical quality feedback during design reviews and development.
  • Contribute significantly to test strategy, quality standards, and best practices, and support production readiness reviews and defect triage activities.
  • Contribute to projects such as testing AI chat assistants and copilots, validating AI agent workflows, evaluating retrieval augmented generation (RAG) search quality, automating AI response evaluation frameworks, and performance testing AI services and orchestration platforms.

Must-Have Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
  • 3-6 years of experience in software testing, QA automation, or quality engineering.
  • Proven experience developing automated test solutions using Python, Java, JavaScript/TypeScript, or C#.
  • Demonstrated experience with API testing and automation tools.
  • Strong understanding of test automation principles, the Software Development Lifecycle (SDLC), Agile methodologies, and CI/CD pipelines.
  • Experience testing distributed systems, web applications, and APIs.
  • Proficiency in AI Testing concepts including Prompt Testing, Response Evaluation, Hallucination Detection, Agent Workflow Validation, RAG Validation, AI Safety Testing, AI Regression Testing, and AI Benchmarking.
  • Expertise in Quality Engineering practices such as Test Automation, API Testing, Integration Testing, Performance Testing, Load Testing, Security Testing, Defect Analysis, and Root Cause Investigation.
  • Familiarity with industry-standard tools and technologies like Selenium, Playwright, Postman, JUnit / PyTest, GitHub Actions, Jenkins, Docker, and Kubernetes.

Nice-to-Have Qualifications
  • 1-3 years of exposure to AI/ML or Generative AI technologies.
  • Experience testing Generative AI applications, large language model (LLM)-based systems, AI agents, RAG applications, or complex platform integrations.
  • Familiarity with leading AI models and platforms.
  • Experience building evaluation and benchmarking frameworks for AI solutions.
  • Experience testing cloud-native applications on major cloud platforms.
  • Knowledge of responsible AI, AI governance, and AI risk management practices, understanding how AI initiatives align with enterprise governance, risk, privacy, and compliance requirements.

About Aquent Talent
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.