job summary:
Position Summary
We are seeking a Mid-Level AI Software Test Engineer to design, automate, and execute testing strategies for AI-powered applications, machine learning systems, AI agents, copilots, and generative AI solutions. This role combines traditional software quality engineering with emerging AI validation techniques to ensure AI systems are reliable, safe, accurate, performant, and production-ready.
The ideal candidate has a strong software testing background, experience building automated test frameworks, and an interest in AI technologies such as LLMs, agents, RAG systems, MCP integrations, and machine learning models. AI engineering organizations increasingly emphasize AI evaluation frameworks, automation, reliability, governance, and production quality, making testing a critical function in AI delivery.
location: Ann Arbor, Michigan
job type: Contract
salary: $40.81 - 43.81 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
Key Responsibilities
AI Quality Engineering
- Develop comprehensive testing strategies for AI applications, platforms, and services.
- Validate AI model outputs for accuracy, consistency, 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 AI guardrails, business rules, permissions, and governance controls.
- Perform adversarial, negative, and edge-case testing to identify model failures and hallucinations.
Automation
- Build and maintain automated test frameworks for AI applications.
- Develop automated evaluation pipelines for AI responses and workflows.
- Integrate AI testing into CI/CD pipelines.
- Implement automated quality scoring and regression detection.
- Create reusable test data, mocks, simulators, and validation frameworks.
Platform & Integration Testing
- Test AI agents, workflows, APIs, MCP integrations, and tool-calling capabilities.
- Validate integrations with external systems, data sources, and enterprise services.
- Verify performance, reliability, scalability, and resiliency of AI workloads.
- Execute load and stress testing for AI services.
Collaboration
- Partner with software engineers, AI engineers, product owners, architects, and security teams.
- Participate in design reviews and provide quality feedback during development.
- Contribute to test strategy, quality standards, and best practices.
- Support production readiness reviews and defect triage activities.
qualifications:
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Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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