Applied AI Engineer - Build Production-Grade AI Apps

Mistral.ai; Paris; Sur place; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Healthcare coverage

Relocation support

Wellness programs

Meal allowance

Transportation allowance

Résumé du poste

Mistral.ai in Paris is seeking an Applied AI Engineer to design and deliver production-grade AI systems across departments, translating complex business needs into scalable solutions. You will bridge product, engineering and business, owning the end-to-end delivery from concept to adoption.

You will work hands-on with Python/TypeScript stacks, build with FastAPI/Node and frontend React/Vue, and drive ROI through observable data and robust architectures. Fluency in English is essential.

Qualifications

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

Responsabilités

• 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.

Connaissances

Python/TypeScript

FastAPI/Node

React/Vue

GenAI use cases

Clean code/architecture

Delivery ownership

English communication

AI-native tools

Outils

Python

TypeScript

FastAPI

Node.js

React

Vue.js

Description du poste

Mistral.ai in Paris is seeking an Applied AI Engineer to design and deliver production-grade AI systems across departments, translating complex business needs into scalable solutions. You will bridge product, engineering and business, owning the end-to-end delivery from concept to adoption.

You will work hands-on with Python/TypeScript stacks, build with FastAPI/Node and frontend React/Vue, and drive ROI through observable data and robust architectures. Fluency in English is essential.