Lead Software Engineer in Test, QA

About Mistral    At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.   We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.     Role summary   We are seeking a skilled and proactive QA Engineer to join our team and ensure the reliability, accuracy, and robustness of our AI-powered products. In this role, you will design and execute test strategies for our applications, APIs and machine learning models. Your work will involve automated testing, edge-case analysis, and collaboration with cross-functional teams to deliver seamless, high-quality user experiences. If you thrive in a dynamic environment and are passionate about quality in AI systems, this is a perfect opportunity to make a tangible impact.   What you will do   Test Automation: Develop automated test suites to validate app features, APIs, and model integrations, ensuring end-to-end reliability and user experience. Edge Case Analysis: Collaborate with PMs and other stakeholders to identify and rigorously test edge cases, improving the robustness of both platform features and models. Quality Platform Development: Contribute to building tools and frameworks that enable more efficient and scalable quality testing processes across the organization. Release Readiness Validation: Implement pre-release quality gates to validate models, APIs, and platform updates, providing a green light for production releases. Systematic QA Campaigns: Design and lead comprehensive quality assurance campaigns, including functional, stress, and performance testing, to proactively identify potential issues.   About you   • You have proven ability to create and execute comprehensive test strategies, covering functional, regression, and exploratory testing for AI products. • You are proficient in QA tools like Playwright, Postman, or similar platforms for API and functional testing. • You’re skilled in identifying, documenting, and collaborating with developers to resolve issues efficiently. • You are autonomous and a self-starter. • You are a proactive problem-solver with a continuous improvement mindset. • You are proficient in Python or Typescript.   Now it would be ideal if you have : • Experience testing Machine Learning models. • Understanding of the Machine Learning lifecycle. • Experience in various types of testing : performance, load, accessibility or others • Strong debugging skills.   Hiring Process   - Recruiter Screening (30min) - Hiring Manager Interview (30min) - Take-home + review/scripting (1 week / 60 min) - Stakeholders interview with Engineering team lead (30 min) - Culture-fit discussion (30min) - Reference checks