Staff Applied AI Engineer Infra DevOps
Paris-based AI company building frontier models, AI applications, developer tools, and compute infrastructure for enterprise and public-sector deployments.
About Mistral AI
Mistral AI develops open-weight and commercial language models and provides a full-stack AI platform spanning agents, application development, custom-model training, APIs, and AI cloud infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will onboard customers onto AI products and guide their deployment and integration. You will design production infrastructure from GPU stacks through back-end and front-end interfaces, deploy and scale AI applications, contribute to open-source codebases, and provide technical guidance during pre-sales discussions.
Requirements
- Fluency in English and Korean
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 8+ years of DevOps or Site Reliability Engineering experience
- Experience deploying and managing AI-based products in production
- Python proficiency
- Experience with Docker and Kubernetes
- Experience with CI/CD pipelines and automated deployment tools
- Understanding of AWS, Azure, GCP, and on-premises infrastructure
- Experience with Terraform or Ansible
- Ability to explain complex technical concepts to technical and non-technical audiences
Responsibilities
- Onboard customers onto products and guide deployment and integration
- Ensure production infrastructure from GPU stacks to back-end and front-end interfaces
- Deploy AI applications for consumer and industrial use cases
- Collaborate on complex customer projects involving deployment, scaling, inference, and fine-tuning
- Contribute to open-source codebases
- Participate in pre-sales calls and provide technical product guidance
Benefits
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal allowances
- Transportation allowances
