Ph3About The Job /h3 pMistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. /p pThe Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. /p pOur team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll 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 Mistral's technological vision. /p h3What You Will Do /h3 ul liIndividually help deploy use cases with significant business impact across various industries. /li liWork on state-of-the-art GenAI applications from consumer products to industrial use cases, driving crucial technological transformation with customers. /li liCollaborate with researchers, other AI engineers, and product engineers on complex customer projects, including fine‑tuning, state-of-the-art LLM applications, and contributing to open‑source codebases for inference and fine‑tuning. /li liParticipate in pre‑sales calls to understand potential clients' needs, challenges, and aspirations; provide technical guidance on our products and explain Mistral technologies to stakeholders. /li liCollaborate with product and science teams to continuously improve product and model capabilities based on customer feedback. /li /ul h3How We Work In Applied AI /h3 ul liWe care about people and outputs. /li liWhat matters is what you ship, not the time you spend on it. /li liBureaucracy 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. /li liAlways ask why. The best solutions come from deep understanding, not from copying what worked before. /li liWe say what we mean. Feedback is direct, timely, and given because we care. /li liNo politics. Low ego, high standards. /li liWe embrace an unstructured environment and find joy in it. /li /ul h3About You /h3 ul liFluent in English. /li liAt least 2 years as a technical individual contributor (data scientist or software engineer) on AI-based products. /li liProven experience in AI or machine learning product implementation with APIs, back‑end and front‑end interfaces. /li liExperience in fine‑tuning LLMs, tackling advanced RAG or agentic use cases. /li liDeep understanding of concepts and algorithms underlying machine learning and LLMs. /li liStrong technical coding skills in Python. /li liExcellent communication skills with ability to explain complex technical concepts to technical and non‑technical audiences. /li /ul h3Ideally you have /h3 ul liContribution to open‑source projects, particularly in the space of LLMs. /li liExperience as a Customer Engineer, Forward‑Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager. /li liExperience with deep learning using PyTorch. /li /ul h3Why join us? /h3 pYou’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world‑class team, and contribute to open‑source projects that impact millions. If you’re excited about leading technical innovation and solving real‑world challenges with AI, we’d love to hear from you! /p /p #J-18808-Ljbffr