Mistral AIApplied AI Engineer, Prototyping
Mistral AI is hiring an Applied AI Engineer, Prototyping in Paris, France. Level rates it ; you can apply on Mistral AI.
Level's read on this job
- Builds AI ●●●● is how Level rates this AI engineer role: the job is building AI systems.
- Tools and skills the posting cites include Python, FastAPI and RAG.
- Level classifies it as a mid-level role.
- Level lists 234 other open roles at Mistral AI.
AI in this role
Build and deploy production-grade GenAI applications, RAG systems, and autonomous agents as an Applied AI Engineer.
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.
How we rate this
Applied AI Engineer, Prototyping at Mistral AI rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $184k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where applied ai was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where full stack was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, Applied AI, Machine learning, Full Stack, and Generative AI. 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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