Applied AI Engineer, AI for Mistral

Job summary

Responsibilities

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.

• 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.

What they'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.

Tech stack

• Python
• FastAPI
• React
• TypeScript
• Node.js
• RAG
• dbt