Applied AI Engineer

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, Forward Deployed Machine Learning Engineer will be an integral part of our Applied AI team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.

In this role, you’ll manage customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings.

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

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!