Senior/staff Applied AI Engineer, Devops

Mistral AI Mistral AI · AI Frontier · Singapore · Solutions

This role focuses on deploying and scaling AI applications in production environments, working with customers to integrate and optimize AI solutions. It involves managing the full stack from GPU to interfaces, collaborating with researchers and engineers on inference and fine-tuning, and providing technical guidance during pre-sales.

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 fluency
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 2+ years of experience in a DevOps or Site Reliability Engineering role
  • experience with 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

  • 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

  • deploying and managing AI-based products in production environments
  • low-level GPU stack
  • 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