Mistral AI
AI Frontier · Open-weight LLMs
- HQ
- Paris, FR
- Founded
- 2023
- Size
- 200+
- Website
- mistral.ai
- Blog
- mistral.ai
Products
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.
AI Frontier · Open-weight LLMs
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 |
|---|---|---|
| AI Scientist - Palo Alto Mistral AI is seeking an AI Scientist to research and develop novel methods for large language models, working across use cases and modalities. The role involves building tooling for training, evaluation, and analysis of AI models at scale, and collaborating to ship AI systems with real-world impact. Requires strong software engineering skills, experience with AI frameworks or distributed systems, and high engineering competence for production deployment. | Pretrain | 10 |
| Applied AI, Forward Deployed Machine Learning Engineer - Palo Alto Applied AI Engineer at Mistral AI focused on customer adoption of AI products and APIs. Responsibilities include onboarding, guidance on prompting, evaluation, fine-tuning, production integration, and deploying GenAI applications. Collaborates with researchers and engineers on complex customer projects, including fine-tuning and LLM applications. Involved in pre-sales to understand client needs and provide technical guidance. Contributes to open-source codebases for inference and fine-tuning. Works with state-of-the-art GenAI applications and deploys them into production with significant business impact. |
| AgentPost-train |
| 9 |
| Applied AI, Technical Lead - Forward Deployed AI Engineer Technical Lead, Applied AI role at Mistral AI focused on driving the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. This role involves leading project teams, acting as a primary technical point of contact, and bridging the gap between AI research and real-world applications. Responsibilities include hands-on coding, leading technical teams, pre-sales technical discussions, designing and implementing AI systems (fine-tuning, RAG, agentic workflows), and driving innovation. Requires a PhD/Master's, 7-8+ years of AI/ML experience with 2+ years in a technical leadership role, and expertise in fine-tuning LLMs, RAG, and agentic systems. | AgentPost-train | 9 |
| Applied AI, Forward Deployed Machine Learning Engineer - NYC/Palo Alto Applied AI Engineer role at Mistral AI focused on customer adoption of AI products, including onboarding, guidance on prompting, evaluation, fine-tuning, and production integration. The role involves working on GenAI applications, deploying use cases with business impact, and collaborating with researchers and product engineers on complex customer projects. It also includes pre-sales activities and providing feedback to product and science teams. | AgentPost-train | 9 |
| Research Engineer, Machine Learning Research Engineer focused on building and optimizing large-scale learning systems for open-weight models, working with Research Scientists to enhance training frameworks, data pipelines, and cluster tooling, or to integrate cutting-edge research into production-grade components. The role involves conducting experiments on deep learning techniques, designing and implementing ML algorithms, and delivering prototypes for products like Le Chat and enterprise APIs. | PretrainServe | 9 |