
Applied AI, Forward Deployed Machine Learning Engineer at Mistral (Montréal, Canada)
Mistral· Montréal, Canada·
Role details
Mistral at a glance
A French AI lab building open and frontier-grade large language models, with the full developer and enterprise stack around them.
Mistral is a French AI lab that builds open and frontier-grade large language models and sells the full stack around them: developer tooling, an agent studio, consumer and enterprise apps like Le Chat and Vibe, custom model training, and its own GPU compute. Its edge is deployment control, with open weights, EU hosting, and self-hosting for regulated and sovereign buyers.
$3B+ raised · latest: Series C · 1.7B euros · Sept 2025 · backed by ASML, Nvidia, Andreessen Horowitz, DST Global
Job description
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.
The Role
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.
What You Will Do
- 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 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
What We Are Looking For
- You are fluent in English and French.
- You hold a PhD / master in AI / data science.
- You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
- 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're experienced with building and deploying LLMs or NLP applications
- You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
- You have strong technical coding skills in Python
- You have experience with deep learning with Pytorch
- You have experience with agents framework such as Langchain, vector DBs
- 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
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 Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
Why work at Mistral
- Culture: Flat structure, high ownership, low ego, and a "builders, not order takers" mentality. The company values audacity, speed, rigor, and customer centricity.
- Remote/Hybrid/Office: Based in Paris (15 rue des Halles); relocation support and visa sponsorship offered. Specific remote/hybrid policy not detailed, but global team suggests flexibility.
- Notable perks and benefits (from careers page):
- 20 weeks paid parental leave for all birthing parents.
- 100% employer-sponsored medical, dental, and vision coverage for employees and dependents.
- 6% 401k match (US) / 5% pension contribution (UK).
- Childcare support (reserved daycare seats or financial assistance).
- Meal allowances and transportation support.
- Fitness and wellness subsidies.
- Relocation and settling-in services.
- Financial and career planning support.
- Team composition: 900+ employees from 30+ nationalities; 50% female leaders.
- Interview process: For science, product, and engineering roles: intro conversation → 2-5 technical exercises → 1-3 interviews (hiring manager + teammates) → values conversation → reference checks.