AI QA Engineer & SDET for Secure ML/AI Apps

Aquent; Ann Arbor (MI); On-site; USD 95,000 - 135,000; Full time

Benefits offered by this job

Health insurance

Vision insurance

Dental insurance

Retirement plan with match

Paid training

Paid sick leave

Job summary

Aquent seeks an experienced QA Engineer to lead end-to-end testing for AI-powered applications, ML systems, and agent workflows. You will design and execute tests, validate model outputs, and ensure safety, reliability, and performance across deployments.

Collaborating with AI developers, product teams, and security, you’ll drive quality through automation and robust test data pipelines. The role emphasizes scalable CI/CD integration, adherence to governance, and proactive defect triage, shaping

Qualifications

• Bachelor’s degree in CS or related field.
• 3–6 years in software testing or QA automation.
• Experience with Python, Java, JS/TS, or C# automated tests.
• Experience with API testing tools.
• Strong SDLC, Agile, and CI/CD knowledge.
• Experience testing distributed systems and APIs.
• Familiar with AI testing concepts like hallucinations and guardrails.
• Quality engineering practices mastery.

Responsibilities

• Develop and implement AI testing strategies.
• Validate AI model outputs for accuracy and safety.
• Design tests: functional, integration, end-to-end, performance.
• Create tests for prompt-driven and agent workflows.
• Build automated test frameworks and CI/CD integration.
• Collaborate with AI engineers, product teams, security.
• Support production readiness and defect triage.
• Contribute to test strategy and best practices.

Skills

AI Testing

API Testing

Test Automation

CI/CD

Agile

Distributed Systems Testing

Education

Bachelor’s degree in CS/SE

Tools

Selenium

Playwright

Postman

JUnit

PyTest

GitHub Actions

Jenkins

Docker

Kubernetes

Job description

Aquent seeks an experienced QA Engineer to lead end-to-end testing for AI-powered applications, ML systems, and agent workflows. You will design and execute tests, validate model outputs, and ensure safety, reliability, and performance across deployments.

Collaborating with AI developers, product teams, and security, you’ll drive quality through automation and robust test data pipelines. The role emphasizes scalable CI/CD integration, adherence to governance, and proactive defect triage, shaping