> Markdown version of [/jobs/ext/4080183-applied-ai-forward-deployed-machine-learning-engineer-amsterdam](https://www.wearedevelopers.com/jobs/ext/4080183-applied-ai-forward-deployed-machine-learning-engineer-amsterdam). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied AI, Forward Deployed Machine Learning Engineer - Amsterdam - **Company:** Mistral AI - **Location:** Amsterdam, Netherlands - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, Enterprise Software Applications, Pytorch, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Backend, Front End Software Development, Software Coding - **Published:** October 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8b76567478d8888b ## About the Role * 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 ## Description 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.