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Ai Chat Jobs in Michigan (NOW HIRING)

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 ...

Create chat interfaces, APIs, developer tooling, and user-facing AI experiences. * Own end-to-end feature delivery from design through production deployment. Engineering Excellence * Write high ...

Experience designing conversational interfaces or chat-based applications * Understanding of ... Strong UI/UX sensibility for AI-driven applications * Experience working in cross-functional teams ...

Experience designing conversational interfaces or chat-based applications * Understanding of ... Strong UI/UX sensibility for AI-driven applications * Experience working in cross-functional teams ...

Experience designing conversational interfaces or chat-based applications * Understanding of ... Strong UI/UX sensibility for AI-driven applications * Experience working in cross-functional teams ...

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Ai Chat information

What is an ai chat?

An AI Chat job involves managing, developing, or interacting with AI-powered chatbots to enhance customer support, engagement, or automation. This role can include programming chatbots, training AI models, analyzing user interactions, and improving chatbot responses. Depending on the position, it may require technical skills like natural language processing (NLP) or customer service expertise. AI Chat professionals work in various industries, including e-commerce, healthcare, and tech support, to streamline communication and improve user experiences.

What are the key skills and qualifications needed to thrive in the ai chat position, and why are they important?

To thrive as an AI Chat Specialist, strong written communication, critical thinking, and problem-solving abilities are essential, often supported by familiarity with AI platforms and customer service experience. Proficiency with popular chat tools, CRM systems, and potentially certifications in areas like chatbot management or conversational AI are commonly expected. Active listening, patience, and adaptability are important soft skills for handling a diverse range of inquiries and maintaining positive user interactions. These competencies enable effective, efficient, and user-friendly support while ensuring high satisfaction and engagement with AI-powered chat systems.

What are common challenges faced by ai chat specialists, and how are they addressed?

AI Chat Specialists often encounter challenges such as handling complex or sensitive customer queries and ensuring accurate, timely responses within fast-paced digital environments. To address these challenges, specialists leverage thorough training in company policies, access to comprehensive knowledge bases, and collaboration with technical teams to resolve escalated issues. Regular feedback sessions and performance analytics help improve response quality and customer experience. Being able to adapt quickly to new tools and updates is also crucial for ongoing success in this role.

Is training AI chatbots a real job?

Yes, training AI chatbots is a legitimate job that involves developing, fine-tuning, and improving conversational AI systems. It often requires skills in machine learning, natural language processing, and data annotation, and can be found in tech companies, research labs, and AI startups.

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

The most popular types of Ai Chat jobs in Michigan are:

Infographic showing various Ai Chat job openings in Michigan as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 91% In-person, 2% Hybrid, and 7% Remote job distribution.

AI Software Test Engineer (SDET) [211341]

Aquent Talent

Ann Arbor, MI • On-site

$42.06 - $46.73/hr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 18 days ago


Job description

Partnering with Aquent, we are thrilled to represent 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? This pivotal role offers a unique opportunity to spearhead the quality assurance of groundbreaking AI-powered applications, machine learning systems, AI agents, and generative AI solutions. 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 and the millions of users we serve.

Your Impact and the Opportunity

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, directly reducing regression defects, improving confidence in AI model behavior, and enabling the safe, scalable delivery of AI-powered features. This role offers significant opportunities for innovation and collaboration across diverse teams, directly shaping the reliability and success of cutting-edge AI technologies that meet stringent quality, security, and governance requirements.

  • 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.

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