Applied AI Engineer, Prototyping

Applied AI Engineer, Prototyping at Mistral AI scores 87 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

ParismidFullTime

AI in this role

rag

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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Rag

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Rag. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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