Senior/staff Applied AI Engineer, Devops/sre

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

Applied AI Engineer focused on DevOps/SRE to onboard customers, deploy AI solutions, and ensure production readiness from GPU stack to infrastructure. Collaborates with researchers and engineers on deployment, scaling, and open-source contributions for inference and fine-tuning. Involved in pre-sales technical guidance.

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

  • English and Korean fluency
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 5+ years of experience in a DevOps or Site Reliability Engineering role
  • Deploying and managing AI-based products in production environments
  • Python fluency
  • 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
  • Experience with infrastructure as code (IaC) tools such as Terraform or Ansible
  • Strong communication skills

Nice to have

  • Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager experience
  • 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

  • deploying and managing AI-based products in production environments
  • low-level GPU stack
  • deployment
  • scaling
  • inference
  • fine-tuning

Other signals

  • Deploying state-of-the-art AI applications
  • Ensuring the best production setup from the low-level GPU stack up to infrastructure
  • Scaling AI applications