Mid-Level AI QA Engineer – Testing & Automation

Aquent

Ann Arbor (MI)

On-site

USD 90,000 - 120,000

Full time

4 days ago
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Job summary

Aquent partners with a cutting-edge organization to shape the future of AI quality. The Mid-Level AI Software Test Engineer will design, automate, and execute testing strategies for AI-powered applications, ML systems, and autonomous agents.

You will validate model outputs, guardrails, and governance to ensure responsible deployment and high-quality experiences. Join a team focused on scalable AI features, rigorous testing, and production-ready solutions, collaborating with software and AI

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
  • 3-6 years of progressive experience in software testing, QA automation, or quality engineering.
  • Experience developing automated test solutions using Python, Java, JavaScript/TypeScript, or C#.
  • Demonstrated API testing experience with tools like Postman.
  • Strong understanding of test automation principles and SDLC/Agile.
  • Experience integrating testing into CI/CD pipelines (GitHub Actions, Jenkins).
  • Experience testing distributed systems, web apps, and APIs.
  • Familiarity with Docker and Kubernetes.
  • Experience with cloud platforms (Azure, AWS, or GCP).
  • Proficiency in quality engineering concepts including Defect Analysis and Root Cause Investigation.

Responsibilities

  • Develop and implement comprehensive testing strategies for AI applications and services.
  • Validate AI model outputs for accuracy, reliability, and safety.
  • Design and execute functional, integration, end-to-end, regression, and performance tests for AI solutions.
  • Create test cases for prompt-driven, agentic, and retrieval-based AI workflows.
  • Validate guardrails, permissions, and governance controls for responsible AI deployment.
  • Perform adversarial, negative, and edge-case testing to identify failures and hallucinations.
  • Build automated test frameworks for AI applications and CI/CD integration.
  • Develop automated evaluation pipelines for AI responses and workflows.
  • Create reusable test data, mocks, simulators, and validation frameworks.

Skills

Python
Java
JavaScript/TypeScript
C#
API testing
CI/CD
Git

Education

Bachelor's degree in CS/SE

Tools

Postman
Docker
Kubernetes
Azure
AWS
GCP
Selenium
Playwright
JUnit
PyTest

Job description

Aquent partners with a cutting-edge organization to shape the future of AI quality. The Mid-Level AI Software Test Engineer will design, automate, and execute testing strategies for AI-powered applications, ML systems, and autonomous agents.

You will validate model outputs, guardrails, and governance to ensure responsible deployment and high-quality experiences. Join a team focused on scalable AI features, rigorous testing, and production-ready solutions, collaborating with software and AI

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