About the Job
We are seeking an Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges. As a member of our Applied AI team, you 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 our technological vision.
Responsibilities
- Deploy into production use cases with a considerable business impact across various industries.
- Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
- Collaborate 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.
- Participate in pre-sales calls to understand potential clients' needs, challenges, and aspirations.
- Provide technical guidance on our products and explain Mistral technologies to various stakeholders.
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.
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.
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