Applied AI Engineer, Senior/staff Devops/sre - Emea

Mistral AI Mistral AI · AI Frontier · Paris, France · Solutions

Mistral AI is seeking a Senior/Staff Applied AI Engineer focused on DevOps to help customers adopt and integrate their AI products. This role involves end-to-end project ownership, from understanding customer challenges to deploying and scaling AI solutions, including working with the low-level GPU stack and infrastructure. The engineer will collaborate with researchers and other engineers, contribute to open-source codebases for inference and fine-tuning, and participate in pre-sales calls.

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

  • Python
  • Docker
  • Kubernetes
  • CI/CD pipelines
  • automated deployment tools
  • cloud platforms (AWS, Azure, GCP)
  • on-premises infrastructure
  • Terraform
  • Ansible
  • communication skills

Nice to have

  • Customer Engineer
  • Forward Deployed Engineer
  • Sales Engineer
  • Solutions Architect
  • Technical Product Manager
  • PyTorch
  • TensorFlow
  • open-source contributions

What the JD emphasized

  • deploying and managing AI-based products in production environments

Other signals

  • customer onboarding
  • deployment and integration
  • production setup
  • AI applications
  • scaling