Senior/staff Applied AI Engineer, Devops

Mistral AI Mistral AI · AI Frontier · Seoul, South Korea · Solutions

This role focuses on deploying and integrating Mistral AI's products for customers, managing the full stack from GPU to interfaces, and collaborating on customer projects involving deployment and scaling. It involves pre-sales technical guidance and working with researchers and other engineers.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.

Skills

Required

  • Fluent in English and Korean
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in a DevOps or Site Reliability Engineering role
  • Experienced with deploying and managing AI-based products in production environments
  • Fluent in Python
  • Experience with containerization technologies such as Docker and Kubernetes
  • Experience with CI/CD pipelines and automated deployment tools
  • Deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure
  • Experienced with infrastructure as code (IaC) tools such as Terraform or Ansible
  • Strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences

Nice to 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 the JD emphasized

  • production setup
  • deployment
  • integration
  • scaling
  • customer projects
  • production environments

Other signals

  • customer onboarding
  • deployment and integration
  • production setup
  • deploying state-of-the-art AI applications
  • scaling
  • customer projects