SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Mistral is seeking an Applied AI Engineer to drive enterprise adoption of its full-stack AI solutions—from frontier models to developer tools and compute infrastructure. The Applied AI team operates as customer-facing technical specialists, working directly with enterprise clients from pre-sales through production deployment to solve complex, high-stakes problems in finance, manufacturing, defense, healthcare, and the public sector.
In this role, you will:
- Deploy production AI use cases with significant business impact across diverse industries, working end-to-end from conception to implementation.
- Develop state-of-the-art generative AI applications spanning consumer products to industrial use cases, driving technological transformation alongside customers.
- Collaborate with researchers, AI engineers, and product engineers on complex projects involving advanced fine-tuning, cutting-edge LLM applications, and contributions to open-source codebases for inference and fine-tuning.
- Participate in pre-sales technical discussions to understand client needs, challenges, and aspirations; provide technical guidance on Mistral products and explain AI technologies to diverse stakeholders.
- Partner with product and science teams to continuously improve product and model capabilities based on customer feedback.
Mistral's Applied AI culture emphasizes shipping results over process, direct feedback, low ego, and high standards. The team operates in an unstructured, collaborative environment where the best idea wins regardless of seniority, and you'll have direct access to whoever you need to talk to across the organization.
REQUIREMENTS:
- Fluent in English
- 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
- Proven experience implementing AI/ML products with APIs, back-end, and front-end interfaces
- Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases
- Deep understanding of machine learning and LLM concepts and algorithms
- Strong Python coding skills
- Strong communication skills; ability to explain complex technical concepts to both technical and non-technical audiences
IDEAL ADDITIONS:
- Open-source contributions, particularly in LLMs
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager
- Deep learning experience with PyTorch
