Applied AI, Forward Deployed Machine Learning Engineer - Munich

About The Job

Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.

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. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.

What you will do

• You’ll individually help deploy into production use cases with a considerable business impact across various industries.
• You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning.
• You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
• Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback

How We Work in Applied AI

• We care about people and outputs.
• What matters is what you ship, not the time you spend on it
• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
• Always ask why. The best solutions come from deep understanding, not from copying what worked before
• We say what we mean. Feedback is direct, timely, and given because we care.
• No politics. Low ego, high standards.
• We embrace an unstructured environment and find joy in it.

About you

• You are fluent in English
• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
• You have deep understanding of concepts and algorithms underlying machine learning and LLMs
• You have strong technical coding skills in Python
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences

Ideally you have:
- Contributed to open-source projects in particular in the space of LLMs
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager
- You have experience with deep learning with Pytorch