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QA Engineer

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Parisfull timePosted September 23, 2026via Npv

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Source: Arbeitnow

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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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