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AI Software Test Engineer

Aquent Talent Ann Arbor, MI

Ann Arbor, MI

Today

$42 - $46/hr Full time Backend Developer Ai Engineer Ai Testing And Evaluation

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Job Description

AI Software Test Engineer role in Ann Arbor, MI (onsite), focused on validating AI-powered applications for reliability, accuracy, safety, and performance.

Responsibilities

Design and implement testing strategies across a portfolio of AI applications, platforms, and services.
Assess AI model outputs for accuracy, consistency, reliability, and safety to support high-quality user experiences.
Plan and execute functional, integration, end-to-end, regression, and performance testing for AI solutions.
Create test cases tailored to prompt-driven, agentic, and retrieval-based AI workflows.
Validate AI guardrails, business rules, permissions, and governance controls for responsible AI deployment.
Run adversarial, negative, and edge-case tests to surface potential model failures and hallucinations.
Build and maintain automated test frameworks for AI applications to streamline testing.
Develop automated evaluation pipelines to continuously assess AI responses and workflows.
Integrate AI testing into CI/CD pipelines to enable continuous quality and fast iteration.
Implement automated quality scoring and regression detection to maintain release standards.
Create reusable test data, mocks, simulators, and validation frameworks to improve efficiency and coverage.
Test AI agents, workflows, APIs, and tool-calling capabilities to verify correct operation.
Validate integrations with external systems, diverse data sources, and enterprise services.
Verify performance, reliability, scalability, and resiliency of AI workloads through rigorous testing.
Execute load and stress testing to confirm AI services handle anticipated demand.
Collaborate with software engineers, AI engineers, product owners, architects, and security teams across the development lifecycle.
Participate in design reviews and provide quality feedback early in development.
Help define test strategy, quality standards, and best practices for the organization.
Support production readiness reviews and lead defect triage to help ensure timely issue resolution.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
3 to 6 years of progressive experience in software testing, QA automation, or quality engineering.
Experience building automated test solutions using one or more: Python, Java, JavaScript/TypeScript, C#.
Demonstrated experience with API testing and automation tools (for example, Postman).
Strong foundation in test automation principles and best practices.
Working knowledge of SDLC and Agile methodologies.
Experience integrating testing into CI/CD pipelines (for example, GitHub Actions, Jenkins).
Experience testing distributed systems, web applications, and APIs.
Familiarity with containerization and orchestration, including Docker and Kubernetes.
Experience testing on cloud platforms: Azure, AWS, or GCP.
Proficiency in quality engineering concepts such as Defect Analysis and Root Cause Investigation.

Technologies

Python
Java
JavaScript/TypeScript
C#
Postman
GitHub Actions
Jenkins
Docker
Kubernetes
Azure
AWS
GCP
Selenium
Playwright
JUnit
PyTest

Benefits

Choice of three major medical plans (including vision coverage) plus dental insurance
Paid sick leave for all hourly talent in the U.S. and Canada
401(k) with a match and immediate vesting
Exclusive employee discounts through Promo Code: Aquent
Free online training through Aquent Gymnasium

Preferred Qualifications (Nice-to-Have)

Experience testing generative AI applications, LLM-based systems, AI agents, or RAG applications.
Familiarity with AI models and platforms such as OpenAI, Claude, Gemini, or Azure OpenAI.
Experience building evaluation and benchmarking frameworks for AI solutions.
Knowledge of responsible AI principles, AI governance frameworks, and AI risk management practices.
Experience with AI-specific testing techniques including Prompt Testing, Response Evaluation, Hallucination Detection, Agent Workflow Validation, RAG Validation, AI Safety Testing, AI Regression Testing, and AI Benchmarking.
Familiarity with automation frameworks like Selenium, Playwright, JUnit, or PyTest.
Exposure to quality engineering domains such as Performance Testing, Load Testing, and Security Testing.

Location: Ann Arbor, MI (onsite)

Compensation: USD 42 - 46 per hourly

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