Applied AI, AI Engineer for Mistral at Mistral AI

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. About The Job The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. One of our most important customers isn't external: It's us. We're looking for an engineer to build AI-powered internal tools at Mistral. Your job is to make the company run better by deploying our own models across every team. Think of it as being customer zero. You'll identify automation opportunities, build the solutions, ship them to internal users, and learn from real-world usage. Legal document review, HR onboarding workflows, code review assistants, knowledge search, and support triage are all examples of tasks that save time and improve decision-making. What you will do: - Identify high-value internal use cases across engineering, legal, HR, sales, and operations - Build or vibe code end-to-end LLM applications: prompts, RAG pipelines, APIs, simple UIs, deployment, and monitoring - Own the full lifecycle: prototype to production to maintenance to iteration - Document learnings and share insights with product and research teams - Convert successful internal tools into customer demos or case studies where appropriate About you: - You are fluent in English - You have 3+ years building production software, with meaningful experience deploying LLM applications - You have a bias toward shipping - You have strong technical coding skills in Python and front-end skills with React frameworks - You're comfortable working autonomously across teams with different needs and constraints Ideally you have: - Contributions to open-source evaluation frameworks (e.g., LM Eval Harness, OpenAI Evals) - Experience as a Customer Engineer, Forward Deployed Engineer, or Solutions Architect - Experience with ML frameworks (PyTorch, HuggingFace Transformers) Benefits: PTO: 25 days of holidays and 8 to 10 RTT days. Health insurance, Transportation allowance, Meal vouchers, Sport allowance, Parental policy: 4 additional weeks for parents.