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Mistral AI

Open-weight LLMs and enterprise AI deployment

Founding Team Lead Applied AI Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • Be fluent in English and a native Korean speaker.
  • Hold a PhD or master's degree in AI, data science, or software, or be self-made.
  • Have 10 or more years of experience as a technical individual contributor, such as a data scientist or software engineer, on AI-based products.
  • Have experience fine-tuning large language models, tackling advanced retrieval-augmented generation or agentic use cases, or have strong coding skills in Python and TypeScript and experience with front-end and back-end frameworks such as React, Next.js, Vue.js, and Node.js.
  • Have a deep understanding of concepts and algorithms underlying machine learning and large language models.
  • Have a solid understanding of software development principles, including design patterns, data structures, and algorithms.
  • Have a deep understanding of cloud infrastructure and how to deploy AI-based products.
  • Have deployed or built products with large-scale user bases.
  • Be able to explain complex technical concepts simply to technical and non-technical audiences.

Responsibilities

  • Deliver code for critical parts of complex projects, remaining hands-on to de-risk key project components through coding, reviewing, and optimizing AI solutions.
  • Lead technical teams of Applied AI Engineers by providing mentorship, technical guidance, and best practices for deploying generative AI applications across industries.
  • Lead technical discussions during pre-sales, translate customer requirements into actionable solutions, and communicate Mistral's technological advantages to diverse stakeholders.
  • Design and oversee implementation of complex AI systems, including fine-tuning, retrieval-augmented generation, agentic workflows, and custom large language model applications, aligned with the product roadmap and open-source initiatives.
  • Identify emerging AI trends, evaluate tools and methodologies, and champion best practices for fine-tuning, inference, and deployment.
  • Work with product managers, researchers, and engineers to integrate customer feedback into product development.

Desired Qualifications

  • Contributed to open-source projects, particularly in large language models.
  • Have experience with large language model or generative AI models.
  • Have experience as a hands-on chief technology officer, vice president of engineering, director of engineering, head of machine learning, or in forward-deployed engineering leadership or related scopes.
  • Have experience founding a startup or serving as a founding member of a fast-growing startup.

About the Company

Mistral AI

Open-weight LLMs and enterprise AI deployment

Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.

Company size
1,001-5,000
Company stage
Series D
Total funding
$7.2B
Headquarters
Paris, France
Founded
2023

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