Applied AI Engineer, Prototyping at Mistral AI
ParisSolutionsFull-timePosted 3 months ago
About the role
As published on Mistral AI's job board.
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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Before you apply
- Scan your resume against this posting to see which of its terms you are missing.
- Tailor your resume so the summary and bullets use the posting's own wording where it is true for you.
- Read the machine learning engineer resume guide and the interview questions for the role.
- Apply on Mistral AI's site. Applications never pass through OneTwo Resume.
About Mistral AI
Develops open-weight and commercial language models and offers tools to customize and deploy them in the cloud or on-premises.
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