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Mistral is seeking an Applied AI Engineer to drive enterprise adoption of its full-stack AI solutions—from frontier models to developer tools and compute infrastructure. You'll work directly with enterprise clients across high-stakes industries (finance, manufacturing, defense, healthcare, public sector) from pre-sales through production deployment, co-creating customized AI systems tailored to their needs.
The Applied AI team is Mistral's customer-facing technical organization, combining deep ML expertise with strong customer engagement. You'll operate as a technical leader on end-to-end project execution, bridging cutting-edge AI research with real-world enterprise applications.
Key responsibilities:
- Deploy production AI use cases with significant business impact across various industries
- Develop state-of-the-art GenAI applications, from consumer products to industrial deployments
- Collaborate with researchers, AI engineers, and product engineers on complex projects involving fine-tuning, advanced LLM applications, and open-source contributions
- Participate in pre-sales calls to understand client needs, provide technical guidance, and explain Mistral technologies to diverse stakeholders
- Partner with product and science teams to improve capabilities based on customer feedback
The team operates with a startup mentality: low bureaucracy, high standards, direct feedback, and merit-based decision-making. You'll have autonomy to talk to whoever you need and ship what matters.
Requirements:
- Fluent in English
- 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
- Proven experience implementing AI/ML products with APIs, back-end, and front-end interfaces
- Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases
- Deep understanding of machine learning and LLM concepts and algorithms
- Strong Python coding skills
- Excellent communication skills; ability to explain complex technical concepts to technical and non-technical audiences
Ideally:
- Open-source contributions, particularly in LLMs
- Experience as Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager
- Deep learning experience with PyTorch
