Mistral AI에서 고객의 LLM 도입과 프로덕션 배포를 지원할 Applied AI 엔지니어를 채용합니다. Python, PyTorch 활용 능력과 LLM 파인튜닝, RAG 구현 경험이 필수입니다. 고객과 기술팀 사이의 가교 역할을 수행하며 최첨단 AI 솔루션을 현장에 적용하는 핵심적인 업무를 담당하게 됩니다.
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.
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.
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 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
You are fluent in English and Korean
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
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.
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