Applied AI, Forward Deployed Machine Learning Engineer

Mistral Ai; München; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Mistral AI in München is seeking an Applied AI Engineer to enable customer adoption of the company's AI products and tackle complex technical challenges.

You'll join the customer-facing Applied AI team, working from pre-sales through implementation to deploy cutting-edge AI solutions with measurable business impact.

Qualifikationen

• 2+ years as a technical contributor on AI-based products.
• Experience implementing AI/ML products with APIs, backend and frontend interfaces.
• Experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.
• Strong understanding of machine learning concepts and LLMs.
• Strong Python programming skills.
• Excellent communication skills for technical and non-technical audiences.
• Fluent in English.

Aufgaben

• Deploy production use cases with significant business impact across industries.
• Work on state-of-the-art GenAI applications with customers, driving transformation.
• Collaborate with researchers and engineers on complex projects involving fine-tuning and inference.
• Participate in pre-sales calls to understand client needs and explain technologies.
• Collaborate with product and science teams to improve models based on feedback.

Kenntnisse

Python

LLM fine-tuning

APIs integration

English fluency

Communication skills

ML concepts

Customer engagement

Jobbeschreibung

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

About The Job

Mistral AI is seeking an 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 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.

Why join us?

You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!

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What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

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