Founding Team Lead Applied AI Engineer, Infra/DevOps - South Korea
Mistral AI is hiring a Founding Team Lead Applied AI Engineer, Infra/DevOps - South Korea in Seoul, South Korea. Level rates it ; you can apply on Mistral AI.
Level's read on this job
- Level rates this AI engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include PyTorch, TensorFlow and fine tuning.
- Level classifies it as a lead role.
- Level lists 229 other open roles at Mistral AI.
AI in this role
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 founding Team Lead of our Applied AI Engineering Deployment team in Korea. The Applied AI Engineering Deployment team is focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. This is a player-coach role with roughly 70% hands-on technical work, and 30% people leadership.
Applied AI Engineers, Deployment 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, Deployment 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.
You’ll be the people lead for the Applied AI Engineering Deployment Team in South Korea. You will mentor and grow your direct reports, and help shape the Applied AI Engineering practice in Korea, and APAC.
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 engineering, with a strong DevOps or Site Reliability Engineering background
You have experience leading, mentoring, or managing engineers. Formal direct reports or informal technical leadership both count
You are comfortable being a founding lead in a new location: ambiguity, setting norms, and working across time zones
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.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
How we rate this
Founding Team Lead Applied AI Engineer, Infra/DevOps - South Korea at Mistral AI rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $183k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Walk me through how you've used PyTorch in your day-to-day work.
- What are the limits of TensorFlow that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Fine-tuning, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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