--- title: 'Staff Applied AI Engineer, Devops at Mistral' canonical: 'https://feeny.ai/job/staff-applied-ai-engineer-devops-mistral-seoul-at3b9nypw0fw' type: 'job' last_seen: '2026-09-06' --- # Staff Applied AI Engineer, Devops at Mistral - **Company:** [Mistral](https://feeny.ai/companies/mistral) - **Location:** Seoul, South Korea - **Employment:** full-time - **Posted:** 2026-07-10 - **Last confirmed live:** 2026-09-06 - **Apply:** https://jobs.ashbyhq.com/mistral.ai/8085c274-0b90-46a2-a676-d67a9cb93795 ## Job description ## ABOUT MISTRAL 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. ## About The Job Mistral AI is seeking a senior Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally! Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team. ## What you will do - You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces. - You’ll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to 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. ## About you - You are fluent in English and Korean - You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field - You have 8+ years of experience in a DevOps or Site Reliability Engineering role - You're experienced with deploying and managing AI-based products in production environments - You are fluent in Python - You have experience with containerization technologies such as Docker and Kubernetes - You have experience with CI/CD pipelines and automated deployment tools - You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure - You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible - You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences Ideally you have: - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager - Familiarity with AI frameworks such as PyTorch or TensorFlow - Contributions to open-source projects, particularly in the space of DevOps or AI ## WHAT WE OFFER 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. ## PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. ## About Mistral ## Company Overview - **One-liner**: Mistral is a French AI company building open, frontier-grade large language models, developer platforms, and applied AI solutions for enterprises and governments. - **Entity Type**: Private (Series C) - **Headquarters**: Paris, France (15 rue des Halles) - **Founded**: April 2023 - **Founders**: Arthur Mensch (CEO), Guillaume Lample (Chief Science Officer), Timothée Lacroix (CTO) ## Core Business - **Primary industry/industries**: Artificial Intelligence, Large Language Models, Enterprise AI Software - **Target customers**: B2B, Enterprise, Government, and Developers (B2D) - **Mission or purpose statement**: "To make frontier AI open to all, and together solve the world's hardest problems." ## Products & Services - **Mistral Large**: Frontier-grade large language model for complex reasoning and enterprise tasks. - **Mistral Small 3**: Efficient, lightweight model for cost-sensitive deployments. - **Mistral Code / Vibe**: AI agent for long-horizon, autonomous software development and task completion. - **Le Chat**: Consumer-facing AI assistant and chatbot. - **Mistral OCR 4**: State-of-the-art document intelligence model for extracting and understanding text from images and PDFs. - **Mistral Forge**: Custom model development service for training, aligning, and evaluating proprietary AI models on private data. - **Mistral Studio**: Platform for building, testing, and running AI agents and applications with full control. - **Mistral Compute**: Infrastructure and orchestration platform for frontier-scale training and inference (edge to cloud). - **Mistral Search Toolkit**: Tools for integrating search and retrieval into AI applications. - **Voxtral**: Voice AI model for speech-based interactions. ## Market Standing - **Valuation/Market Cap**: $4.016 billion (latest reported valuation, per CB Insights; date not specified but likely post-Series C) - **Key Metric**: Total funding raised across Seed, Series A, Series B, and Series C rounds (specific amounts not disclosed in search results). - **Notable Investors/Partners**: Not explicitly named in search results, but the company partners with organizations in finance, manufacturing, defense, energy, and the public sector. - **Growth Signals**: - Rapid scaling: 900+ employees across 30+ nationalities as of mid-2026. - 50% of leadership roles held by women. - Key product launches on a near-monthly cadence (e.g., Mistral OCR, Forge, Vibe, Compute, Search Toolkit, Voxtral). - Strong presence in high-stakes, regulated industries (defense, energy, public sector). ## Competitive Advantages - **Open-source DNA**: Commitment to openness, transparency, and cost efficiency differentiates Mistral from closed, Big Tech AI labs. - **Full-stack ownership**: Controls the entire stack from frontier models to developer tools, applications, and compute infrastructure, enabling deep customization and reliability. - **European leadership**: Positioned as a sovereign, European AI champion, appealing to governments and enterprises seeking data control and regulatory compliance. - **Speed and rigor**: Culture of rapid experimentation, iteration, and data-driven decision-making. ## Strategic Focus - **Enterprise and government partnerships**: Co-creating tailored AI systems for mission-critical use cases in finance, manufacturing, defense, energy, and public sector. - **Open platform ecosystem**: Expanding Mistral Studio and Forge to enable customers to build custom models and agents on their own data. - **Infrastructure as a product**: Commercializing Mistral Compute to become a platform for others to train and run AI workloads. - **Continuous model innovation**: Releasing new frontier models and capabilities (OCR, voice, code agents) at a rapid pace. ## Why Work Here - **Culture**: Flat structure, high ownership, low ego, and a "builders, not order takers" mentality. The company values audacity, speed, rigor, and customer centricity. - **Remote/Hybrid/Office**: Based in Paris (15 rue des Halles); relocation support and visa sponsorship offered. Specific remote/hybrid policy not detailed, but global team suggests flexibility. - **Notable perks and benefits** (from careers page): - 20 weeks paid parental leave for all birthing parents. - 100% employer-sponsored medical, dental, and vision coverage for employees and dependents. - 6% 401k match (US) / 5% pension contribution (UK). - Childcare support (reserved daycare seats or financial assistance). - Meal allowances and transportation support. - Fitness and wellness subsidies. - Relocation and settling-in services. - Financial and career planning support. - **Team composition**: 900+ employees from 30+ nationalities; 50% female leaders. - **Interview process**: For science, product, and engineering roles: intro conversation → 2-5 technical exercises → 1-3 interviews (hiring manager + teammates) → values conversation → reference checks. ## Sources 1. [Mistral AI - About Page](https://mistral.ai/about/) 2. [Mistral AI - Careers Page](https://mistral.ai/careers/) 3. [Mistral AI - Homepage](https://mistral.ai/) 4. [CB Insights - Mistral AI Company Profile](https://www.cbinsights.com/company/mistral-ai) 5. [Mistral AI - LinkedIn](https://www.linkedin.com/company/mistralai) ## Other roles at Mistral - [Partnership Development Manager GSI DACH](https://feeny.ai/job/partnership-development-manager-gsi-dach-mistral-munich-tc1nyn35je06) — Munich, Germany - [Reseach Engineer, Full Stack](https://feeny.ai/job/reseach-engineer-full-stack-mistral-palo-alto-em0x4tqd599e) — Palo Alto, CA - [AI Scientist - Physics Models](https://feeny.ai/job/ai-scientist-physics-models-mistral-paris-nczvzn6411p2) — Paris, France - [AI Scientist - Agentic Engineering](https://feeny.ai/job/ai-scientist-agentic-engineering-mistral-paris-vnpqnmhgxgmc) — Paris, France - [Engineering Team Lead, Mistral Cloud](https://feeny.ai/job/engineering-team-lead-mistral-cloud-mistral-paris-9gb48mbqamc8) — Paris, France - [Research Engineer, Forge](https://feeny.ai/job/research-engineer-forge-mistral-paris-asefppy5fxzc) — Paris, France - [Customer Success, North America](https://feeny.ai/job/customer-success-north-america-mistral-new-york-2b2yrzajm1pw) — New York, NY - [AI Developer Relations Engineer](https://feeny.ai/job/ai-developer-relations-engineer-mistral-san-francisco-e0v3rpkyx40a) — San Francisco, CA - [Research Engineer, ML Platform](https://feeny.ai/job/research-engineer-ml-platform-mistral-palo-alto-znvgpkdp419r) — Palo Alto, CA - [Engineering Team Lead, Backend](https://feeny.ai/job/engineering-team-lead-backend-mistral-paris-zycgqy241z1e) — Paris, France