Hybrid AI QA Automation Engineer (Mid-Level)

Spectraforce; Ann Arbor (MI); Hybride; USD 51 000 - 55 000; Plein temps

Résumé du poste

Spectraforce in Ann Arbor, MI, is seeking a Mid-Level AI Software Test Engineer to design, automate, and execute testing strategies for AI-powered applications, ML systems, and AI agents. The role focuses on reliability, safety, and production readiness.

The ideal candidate will have a solid software testing background, automated test frameworks, and interest in AI tech such as LLMs, RAG, and integrations with enterprise services; 100% onsite for six months, then hybrid.

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 with API testing and automation tools.
• Strong understanding of test automation, SDLC, Agile, and CI/CD pipelines.
• Experience testing distributed systems, web applications, and APIs.

Responsabilités

• 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 integrations with external systems, data sources, and enterprise services.

Connaissances

AI Testing

Test Automation

API Testing

CI/CD

Distributed Systems

Agile

Quality Engineering

Formation

Bachelor’s degree in CS/SE/IS

Outils

Selenium

Playwright

Postman

JUnit

PyTest

GitHub Actions

Jenkins

Docker

Kubernetes

Description du poste

Spectraforce in Ann Arbor, MI, is seeking a Mid-Level AI Software Test Engineer to design, automate, and execute testing strategies for AI-powered applications, ML systems, and AI agents. The role focuses on reliability, safety, and production readiness.

The ideal candidate will have a solid software testing background, automated test frameworks, and interest in AI tech such as LLMs, RAG, and integrations with enterprise services; 100% onsite for six months, then hybrid.