Applied AI, AI Engineer for Mistral

🇫🇷 Paris, Île-de-France
Posted 2 months ago
Expires May 29, 2026

About Mistral
 
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
 
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
 
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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
 
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on 
 
About The Job
 
The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.
 
Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution.
 
One of our most important customer isn't external: It's us. We're looking for an engineer to build AI-powered internal tools at Mistral. Your job is to make the company run better by deploying our own models across every team. Think of it as being customer zero. You'll identify automation opportunities, build the solutions, ship them to internal users, and learn from real-world usage. Legal document review, HR onboarding workflows, code review assistants, knowledge search, and support triage are all examples of tasks that save time and improve decision-making.
 
This role matters for two reasons:
 
- First...

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