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AI Software Test Engineer

Aquent TalentAnn Arbor, Michigan🇺🇸United StatesPosted 10 Sept 2026

Why This Role Stands Out

You will play a pivotal role in ensuring the quality of cutting-edge AI applications, gaining invaluable experience in a dynamic, people-first culture with opportunities for continuous learning and growth. This hybrid role is ideal for a skilled test engineer with automation expertise who thrives on collaboration and is eager to shape the future of AI testing while working with leading global brands.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Ann Arbor, Michigan, United States
MochaSeleniumGitJavaJenkinsJestPlaywrightPythonREST

Job Description

Aquent Talent is seeking an AI Software Test Engineer to ensure the quality and reliability of innovative AI-driven applications for leading creative and digital clients. In this role, you'll design and execute automated and manual tests, validate AI models, and build robust test frameworks that integrate into modern CI/CD pipelines. You'll partner closely with engineers, data scientists, and product teams in a people-first, inclusive culture that values experimentation and continuous learning. This is a great opportunity to shape how AI is tested, improve product outcomes, and grow your expertise while collaborating with top global brands.

Responsibilities

  • Design and execute automated and manual tests for AI-driven software solutions across web and cloud platforms
  • Develop, maintain, and optimize test frameworks, test scripts, and CI/CD-integrated test suites
  • Validate AI models for accuracy, performance, bias, and reliability; create reproducible test datasets
  • Collaborate with developers, data scientists, and product teams to define test strategies and acceptance criteria
  • Analyze defects, triage issues, and drive root-cause investigations with engineering teams
  • Implement performance, load, and regression testing for scalable AI applications
  • Document test plans, test cases, and test results with clear, actionable reporting
  • Contribute to quality standards, best practices, and continuous improvement of QA processes
  • Support release readiness with risk assessments and go/no-go quality recommendations
  • Stay current on AI testing tools, frameworks, and industry QA best practices

Required Skills

  • Software testing
  • Test automation
  • Python
  • Java
  • Script or Type
  • Script
  • Selenium or Playwright
  • Py
  • Test or Jest or Mocha
  • API testing (REST/Graph
  • QL)
  • CI/CD tools (Jenkins, Git
  • Hub Actions, Git
  • Lab CI)
  • AI/ML model validation
  • Performance and load testing

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