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AI Test Engineer
Testing with AI / Agentic AI
Ready to put AI to work in testing? As an AI Test Engineer at QA Company, you build autonomous test frameworks with LLMs and agents — smarter, faster and further than traditional automation.
Are you a Test/QA Engineer who gets excited about smart test automation, but the next generation? Not just maintaining scripts, but leveraging AI and Agentic AI to test software autonomously, faster, and smarter, from UI and API to end-to-end flows, regression, and exploratory testing?
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Your mission
- Develop and maintain an AI-enabled test framework where LLMs and (semi-)autonomous agents can schedule, execute, and evaluate tests.
- Deploy Agentic AI for exploratory testing: autonomously navigate user journeys, detect anomalies, and reproduce findings with steps and evidence (logs/screenshots/video).
- Automatically generate test cases, edge cases, and regression sets based on requirements, user stories, incidents, code changes, and product analytics.
- Build "AI test oracles" that automatically determine whether outcomes are correct (assertions, invariants, contracts, golden paths, snapshot comparison, heuristics).
- Integrate AI into existing tooling (e.g. Playwright/Cypress/Selenium, Postman/REST‑assured, k6/JMeter) and CI/CD pipelines.
- Create synthetic test data and scenarios (including privacy-by-design) so that agents can test safely with realistic data.
- Develop self-healing tests that are resistant to UI changes, dynamic selectors, variable content, and feature flags.
- Test complex systems: microservices, event-driven flows, async processing, caching, permissions/roles and multi-tenant behavior.
- Detect and prevent flaky tests via AI-driven root cause analysis (timing, data, dependencies, environment drift).
- Report test results with actionable feedback: impact, reproducibility, risk assessment, and priority for engineering/product.
AI/LLM Test Automation Test Automation
Self-healing Tests CI/CD Observability Exploratory Testing
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What you bring
- Solid foundation in testing and test automation (UI, API, integration, and end-to-end) and a sense of quality/risk.
- Experience with a modern test stack (e.g. Playwright/Cypress/Selenium, pytest/JUnit, REST-assured, Postman, contract testing).
- Affinity with or experience in LLMs / agents: prompt design, tool usage, structured outputs (JSON), evaluation of output quality.
- You understand that AI is not magic: you focus on reproducibility, determinism where necessary, logging, measurability, and governance.
- Analytical mindset: you can “read” a system, identify risks, and translate test strategy into concrete coverage.
- Clear communication: you make findings understandable to engineers, POs, and stakeholders (with evidence and prioritization).
- Experience with CI/CD (GitHub Actions/GitLab/Jenkins), Docker/K8s, observability (Grafana/ELK), and test data management.
- Basic knowledge of security/privacy (PII), and how to test safely in enterprise environments.
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What we offer
Innovative projects
At leading clients who are at the forefront of AI-driven testing.
AI learning programme
"Mastering AI-Powered Testing" exclusive training for our team.
Market-competitive salary
Strong secondary benefits and ample growth opportunities.
Key role
Help build a new A-label in QA and testing in the Netherlands.
Nerdy colleagues
A team of like-minded professionals with a passion for quality.
Knowledge sharing
Inspiring company meetings and continuous knowledge development.
Apply directly
Send us your details and we'll be in touch soon
Working at QA Company
Professionals with serious ambitions and always at the forefront of the field.
