AI QA Engineer for Reliable, Scalable AI Solutions

Skill

Ann Arbor (MI)

On-site

USD 57,859 - 64,747

Part time

14 days+

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Job summary

Aquent Talent is seeking a hands‑on QA engineer to lead AI testing for next‑gen AI‑powered applications, ML systems, agents, and generative AI solutions in a financial‑tech environment.

You will design test strategies, build automated frameworks, validate model outputs, and integrate testing into CI/CD pipelines, collaborating with software and security teams to ensure reliability and safety.

Qualifications

  • Bachelor's degree in CS, SE, IS, or related field.
  • 3–6 years in software testing, QA automation, or quality engineering.
  • Experience building automated test solutions using Python, Java, TS/JS, or C#.
  • Strong API testing and automation tool experience.
  • Knowledge of SDLC, Agile, and CI/CD pipelines.
  • Experience testing distributed systems, web apps, and APIs.
  • Familiarity with Selenium, Playwright, Postman, CI tools.

Responsibilities

  • Develop and implement testing strategies for AI applications, platforms, and services.
  • Validate AI model outputs for accuracy, reliability, and safety; perform adversarial testing.
  • Design and execute functional, integration, end‑to‑end, regression, and performance tests for AI solutions.
  • Create test cases for AI workflows, validating guardrails, business rules, and governance.
  • Build automated test frameworks and CI/CD integration for AI testing.

Skills

Python
Java
JavaScript/TypeScript
API testing
CI/CD
QA automation
SDLC
Agile

Education

Bachelor's degree in Computer Science or related field

Tools

Selenium
Playwright
Postman
JUnit/PyTest
GitHub Actions
Jenkins
Docker
Kubernetes

Job description

Aquent Talent is seeking a hands‑on QA engineer to lead AI testing for next‑gen AI‑powered applications, ML systems, agents, and generative AI solutions in a financial‑tech environment.

You will design test strategies, build automated frameworks, validate model outputs, and integrate testing into CI/CD pipelines, collaborating with software and security teams to ensure reliability and safety.

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