Applied AI Engineer, DevOps or Research, Europe - Paris/Berlin/Munich/London

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 Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. 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 daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.

Key Responsibilities:

- You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces. 

- 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 individually help deploy into production use cases with a considerable business impact across various industries. 

- 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

Required Skills & Qualifications:

Must haves:

- Fluent in English

- PhD / master in AI / data science.

- 2+ years as a technical individual contributor (machine learning engineer or data scientist or software engineer) on AI-based products

- Experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases 

- Experience in MLOps and deploying Machine Learning use cases at scale 

- Deep understanding of concepts and algorithms underlying machine learning and LLMs

- Experience building and deploying LLMs or NLP applications

- Proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. 

- Strong technical coding skills in Python

- Experience in deep learning with Pytorch

- Experience with Agents framework such as Langchain, vector DBs

- Strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences

Nice to Haves:

- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager 

- You have contributed to open-source projects in particular in the space of LLMs

Benefits 

- Daily lunch vouchers 

- Contribution to a Gympass subscription 

- Monthly contribution to a mobility pass 

- Full health insurance for you and your family 

- Generous parental leave policy 

About The Team

At Mistral AI, we are a tight-knit, nimble team dedicated to bringing our cutting-edge AI technology to the world. Our mission is to make AI ubiquitous and open.

Our team values are reflected in our product values:

- Cool: We have a tongue-in-cheek way of looking at things, it’s hard to describe but you know it when you see it

- Precision: Our designs mirror the rigor and excellence that underpin our technology, reflecting our commitment to quality and reliability

- Human-Centric: We strive to make our technology open, approachable, and accessible

- Captivating: Our designs reflect the magic of our technology and our playful, exploratory approach to innovation

- Ambitious: We push the boundaries of what is possible, reflecting our bold vision for the future