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Applied AI Engineer, Prototyping

Open 35d posting dated 2 days ago

Summary

Build and deploy full-stack AI systems for clients, from scoping to production, using modern GenAI stacks, Python, and FastAPI.

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role

As an Applied AI Engineer on the Proto team, you will lead the design and delivery of robust, production-grade AI systems in rapid development cycles. The Proto team sits at the intersection of product and customer, turning advanced technology into meaningful, real-world solutions. You will be deeply involved in both client-facing and internal projects, ensuring Mistral’s capabilities directly address business needs and drive measurable value.

You will translate complex, often ambiguous business requirements into engineered solutions that work at scale. In this role, you guide technical decisions, collaborate closely with internal teams and customers, and help shape product direction by pressure-testing what’s possible. Your work will unlock new business opportunities and help drive continuous product improvement.

What You Will Do

  • Deliver end-to-end full-stack AI solutions from project scoping through deployment

  • Partner with customers to clarify needs, define requirements, and architect robust systems

  • Ship ready-to-use applications for both clients and Mistral’s internal teams

  • Lead architecture and technical choices, ensuring solutions are scalable and reliable

  • Diagnose and solve complex technical problems across various industries and use cases

  • Contribute to internal tools, product improvements, and open-source initiatives

  • Evaluate and integrate new technology capabilities into existing systems

What We're Looking For

  • At least 2 years building and deploying production AI products or systems

  • Strong experience with vibe coding tool, with high regards for clean code & high architecture standards

  • Experience working with modern GenAI stacks with expertise in RAG, Agent, Evaluation & Orchestration.

  • Strong Python skills, with experience in scalable backend frameworks like FastAPI

  • Familiarity with frontend development, ideally using frameworks such as React or Vue

  • Ability to quickly understand business needs and translate them into technical plans

  • Skilled at explaining complex technical ideas to diverse stakeholders

  • Track record of collaborating effectively across different teams

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

What this application asks

ashby

Name, Email, Resume

  • Current company optional
  • Current location optional
  • Phone optional
  • Additional information written answer · optional
  • LinkedIn optional
  • Twitter optional
  • GitHub optional
  • Google Scholar optional
  • Design Portfolio optional
  • Do you have the authorization to work in the country you are applying to? choose any · optional
  • What languages are you fluent in? written answer
  • What’s your most complex project with LLM? Please provide context (scale of data, technical complexities, fine-tuning, ...) In case you have very few LLM experiment, please present a product engineering project. written answer
  • What do you optimize for in life? written answer
  • What should we know about you? written answer

See also