Applied AI Engineer, Mistral AI

• You are fluent in English
• You thrive in ambiguous, fast-paced environments and have a problem-solving mindset to deliver robust, scalable solutions
• A builder at heart who balances velocity with precision, delivering technical work with a methodical approach
• You have strong communication skills and can explain complex technical concepts to both technical and non-technical audiences
• You are client-focused, with a passion for innovation, exploration of new technologies, and improving existing systems
• You enjoy collaborating with diverse teams and can translate client needs into actionable technical plans
• You have 2+ years as a technical individual contributor (ML engineer, software engineer, full-stack) on AI-based products
• You have hands-on experience with LLMs, RAG, and agent-based systems, including their lifecycle and deployment
• You have experience working with Python, write clean, maintainable code and understand scalable architectures (e.g., FastAPI, Pydantic)
• You have basic frontend knowledge (e.g., React, Vue) to build modern, user-friendly interfaces efficiently

Desirable

• As Mistral’s Applied AI Engineer – Prototyping, you’ll design and deploy first-of-its-kind AI solutions that inspire customers and push technical boundaries
• You will design, build, and deploy full-stack AI-powered prototypes and solutions working hands-in-hand with our global customers
• In this role, you will manage delivery of solutions while interacting with multiple stakeholders (including CEO/CTO, data scientists, and software engineers) and function as a key technical leader during the entire prototype engagement
• Build full-stack AI prototypes for global customers: Design, develop, and deploy end-to-end AI-powered solutions, acting as technical lead to manage delivery from concept to production
• Drive technical innovation and adoption: Collaborate with research, product, and engineering teams to build internal tools and contribute to open-source projects that accelerate Mistral AI adoption
• Lead customer engagement and scoping: Conduct scoping calls with clients to understand their use cases, challenges, and requirements, then translate these into actionable technical solutions with significant business impact
• Solve complex, real-world AI challenges: Deep-dive into diverse customer problems across industries, working on state-of-the-art GenAI applications from consumer products to industrial use cases, while providing ongoing technical guidance and support

• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us