- Location
- Paris
- Employment
- Full Time
- Workplace
- On-site
White Circle
Apply via Arbeitnow Role description
Original description · English translation pending
We're looking for a QA Engineer to join White Circle, an AI Safety company building the policy enforcement and optimization layer for AI systems. Backed by $11M from senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, and DeepMind, White Circle processes 100M+ API calls monthly and runs its own LLMs in production. This is a manual-first product QA role, with automation as a key tool.
You will
- Manually test new features and fixes across the web platform and APIs in fast release cycles, sometimes as short as one working day.
- Identify the highest-risk areas, run exploratory, smoke, regression, and integration testing, and give clear release feedback.
- Write concise test plans and checklists, investigate unexpected behavior, and file reproducible bug reports.
- Work with engineers and product owners to clarify requirements and improve testability before development is complete.
- Automate stable, business-critical flows with Playwright and Python, and integrate them into CI/CD.
Requirements
- 2+ years in QA automation, including building frameworks from scratch.
- Strong Playwright experience for E2E UI testing and scalable test suite design.
- Clean Python automation code (pytest, fixtures, parametrize).
- Hands-on CI/CD integration (GitHub Actions, GitLab CI, or similar).
- Practical use of AI coding agents and LLM-powered developer tools in testing workflows.
- Fluent English and clear communication.
- Based in or relocating to Paris or London (hybrid).
Bonus
- Testing AI/LLM products: non-deterministic outputs, confidence scoring, edge-case prompts.
- Performance or load testing (k6, Locust).
- API testing tools (Postman, Insomnia, Yaak) or contract testing.
- Security-aware QA or SOC 2 environments.
We offer
- Competitive salary + equity.
- Hybrid work from Paris or London, relocation package for Paris.
- Top-tier medical insurance in France and flexible time off.
- L&D budget, all hardware and tools you need, plus covered AI agent and IDE subscriptions.
- Team off-sites twice a year.
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