Mistral AI
AI Frontier · Open-weight LLMs
- HQ
- Paris, FR
- Founded
- 2023
- Size
- 200+
- Website
- mistral.ai
- Blog
- mistral.ai
Products
AI Frontier · Open-weight LLMs
Mistral AI currently has 76 active AI-related job listings. The majority of these roles are focused on agents, making up 34% of the openings, followed by application-focused roles at 32%. Engineering is the most frequently listed function. The company is actively hiring, with 42 new AI roles posted in the last 30 days, representing a 27% increase compared to the previous 30-day period.
Currently tracking 67 active AI roles, down 73% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Mistral AI currently has 83 active AI-related roles in our index. The most common open titles are: Research Engineer, Data Infrastructure (2), AI Deployment Strategist - Australia, AI Deployment Strategist - Luxembourg, AI Deployment Strategist - MENA, AI Deployment Strategist - Marseille. Most positions are in Engineering and Product.
Mistral AI's active AI hiring is concentrated in: agents (35%), application (29%), data (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Mistral AI is hiring AI talent in: France (52 roles), Singapore (7 roles), United States (6 roles), Germany (4 roles).
Job postings at Mistral AI most frequently reference: model serving, fine tuning, agent orchestration, rag, inference infra.
In the past 30 days, Mistral AI has posted 12 new AI-related roles. That is a -75% change versus the prior 30 days (48 → 12).
| Title | Stage | AI score |
|---|---|---|
| Applied AI, Forward Deployed Machine Learning Engineer - Morocco Mistral AI is seeking an Applied AI Engineer to facilitate customer adoption of its products, collaborate on complex technical challenges, and deploy GenAI applications. The role involves end-to-end project execution, bridging AI research with enterprise applications, and contributing to open-source codebases. Responsibilities include deploying production use cases, working on state-of-the-art GenAI applications, fine-tuning LLMs, RAG, agentic use cases, and pre-sales technical guidance. | AgentPost-train | 8 |