Skip to content

Mistral AI

Applied AI Engineer, AI for Mistral

Mistral AI is hiring an Applied AI Engineer, AI for Mistral for a remote role open to applicants in 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.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Python, FastAPI and React.
  • Level classifies it as a senior role.
  • Level lists 234 other open roles at Mistral AI.

AI in this role

Design and ship production-grade full-stack AI applications and systems to drive internal adoption and ROI across multiple departments.

PythonFastAPIReactTypeScriptNode
ragapplied-aifull-stack-developmentsystem-architectureproduction-ai

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, your mission is to make Mistral AI-native from the inside. You lead the design and delivery of production-grade AI systems in rapid cycles, building the iconic use case for multiple department (eg: GTM, HR, Engineering, Finance, ect) in your portfolio. You sit where product, engineering and the business overlap, turning advanced technology into real-world solutions that move a metric.

You translate complex, often ambiguous business requirements into engineered solutions that work at scale. You act as the technical lead for your departments and contribute as an Individual contributor you guide the technical choices, build the solution end to end, drive adoption, and keep improving it. Your goal is to build clients trust, and deliver high ROI solutions, not a hit-and-run POC.

What You Will Do

  • Run discovery with department heads and key users, map their workflows, and turn ambiguous needs into a prioritized use-case backlog with clear expected value.

  • Deliver end to end: design and ship production-grade full-stack apps (Python/FastAPI, React) and AI systems, from scoping through deployment and adoption.

  • Encode business rules, KPIs and ROI metrics as durable datalake assets and app logic, so your departments run on trustworthy, observable data.

  • Dogfood the latest Mistral products as a first internal user, and turn what you learn into credible product feedback that shapes the roadmap.

  • Own architecture for your surface: keep it scalable, secure and observable, with a high bar on clean code.

  • Spot patterns across departments and lift one-off solutions into reusable building blocks.

What We're Looking For

  • At least 3 years building and deploying production AI software.

  • Strong full-stack engineer: Python/TypeScript, scalable backends (FastAPI/Node), and enough frontend (React/Vue) to ship a usable app yourself.

  • Hands-on with modern GenAI use cases: RAG, agents, workflows, orchestration and evaluation.

  • Strong command of vibe-coding tools, paired with genuine care for clean code and architecture: speed without slop.

  • Strong ownership and a bias for delivery. This is made for high-velocity engineers who already have experience.

  • Fluent in AI-native tools (Slack, Linear, etc.).

  • Passionate about solving customer problems. Here, your customers are Mistral's own teams.

  • Excellent communication in fluent English: you can explain a technical idea to a lawyer, a marketer and a staff engineer in the same afternoon.

Nice to have

  • Exposure to Legal, Public Affairs, Marketing or Compute/Infra domains, or a track record of getting fluent in an unfamiliar domain fast.

  • Data engineering or analytics experience (warehouse modeling, dbt, dashboards).

  • Contributions to open-source projects, especially around LLMs.

  • A builder's instinct for internal tooling and platform reuse.

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, AI for Mistral 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.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

RAGApplied AIFull Stack DevelopmentSystem ArchitectureProduction AIPythonFastAPIReact

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

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Tell me about a project where applied ai was part of your work. What did you do?
  3. Tell me about a project where full stack development was part of your work. What did you do?
  4. Tell me about a project where system architecture was part of your work. What did you do?
  5. Tell me about a project where production ai was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, Applied AI, Full Stack Development, System Architecture, and Production 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.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get new remote AI engineer jobs (Builds AI ●●●●) by email

One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free.

Similar roles

Software Engineering roles that build AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Mistral AI

More AI engineer jobs

Related searches

Same AI level

Jobs by city