Mistral AI
Applied AI, Forward Deployed Machine Learning Engineer
About this role
Mistral AI seeks an Applied AI Engineer to bridge their products with enterprise customers, helping them deploy advanced LLM solutions across industries. You'll manage customer relationships from presales through production, guide technical implementation, and collaborate with research teams to solve complex AI challenges.
What you'll do
- Onboard customers on Mistral products and APIs, providing guidance on prompting, fine-tuning, and evaluation
- Deploy production-ready GenAI applications with measurable business impact across finance, manufacturing, healthcare, and defense
- Manage relationships with multiple technical stakeholders (executives, data scientists, engineers) throughout the customer lifecycle
- Participate in presales calls to understand customer needs and communicate Mistral's technical capabilities
- Collaborate with researchers and product teams on complex projects involving fine-tuning, agentic systems, and open-source contributions
- Gather customer feedback to inform product and model improvements
What they're looking for
- LLM fine-tuning and advanced RAG/agentic use case development
- Python and PyTorch
- API integration and full-stack AI application deployment
- Agent frameworks (LangChain, vector databases)
- Machine learning algorithms and LLM architecture understanding
- Technical communication to diverse audiences
- NLP and LLM application building and deployment
- Open-source contribution experience (preferred)
Benefits
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal and transportation allowances
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Mistral AI
Mistral AI builds large-scale machine learning systems and open-weight AI models, supported by infrastructure powering petabyte-scale HPC clusters and enterprise AI platforms. The company is hiring Systems Engineers, Research Engineers, Site Reliability Engineers, and Applied AI Engineers to scale training infrastructure, optimize data systems, ensure platform reliability, and drive customer adoption across industries.
- Website
- mistral.ai
Likely interview questions
- Walk us through a time you deployed an LLM application to production—what were the key technical challenges and how did you overcome them?
- Describe your experience fine-tuning LLMs. What datasets or use cases have you worked with, and what were the results?