Mid-Level AI Quality Engineer — Testing & Automation

Spectraforce Technologies

Ann Arbor (MI)

Hybrid

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Spectraforce Technologies in Ann Arbor, MI is 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.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field.
  • 3–6 years of software testing, QA automation, or quality engineering experience.
  • Experience developing automated test solutions using Python, Java, JavaScript/TypeScript, or C#.
  • Experience with API testing and automation tools.
  • Strong understanding of SDLC, Agile methodologies, and CI/CD pipelines.
  • Experience testing distributed systems, web applications, and APIs.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.

Skills

Prompt Testing
Response Evaluation
Hallucination Detection
Agent Workflow Validation
RAG Validation
AI Safety Testing
AI Regression Testing
AI Benchmarking
Test Automation
API Testing
Integration Testing
Performance Testing
Load Testing
Security Testing
Defect Analysis
Root Cause Investigation

Education

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field

Tools

Selenium
Playwright
Postman
JUnit / PyTest
GitHub Actions
Jenkins
Docker
Kubernetes
Azure
AWS
GCP

Job description

Spectraforce Technologies in Ann Arbor, MI is 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.

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