We are seeking experienced backend software engineers to join our Deployment team. You'll help deploy and integrate our products (models, APIs, AI Studio…) across multiple infrastructure configurations, from leading cloud service providers to self-hosted (private cloud and on-premises) solutions. You'll work closely with the research, product, solution architect and program management teams to serve our frontier models to customers wherever they use our technology.
What you'll do
As a Software Engineer in the Deployment team, you will be responsible for:
- New releases – you will ensure fast and reliable launch of new products (from models to APIs) to customers
- Build and test infrastructure – you will work to improve and extend the infrastructure needed to package, deploy and integrate our core technology within first-party systems and third-party platforms
- Safety – you will help solve the unique challenges that come with maintaining AI safety on third-party platforms
- Observability and Monitoring – you will collaborate closely with both internal and external stakeholders to ensure our services achieve high availability and deliver state-of-the-art performance for our users
- Build automation to increase deployment performance (velocity, scalability)
- Foster architecture improvements to make our products deployable on all configurations (including on-premise)
- Drive cross-functional feature improvements with other product engineering teams (Le Chat, API/SDK, Mistral Code…)
- Contribute to key technology and architecture trade-offs to break our deployment stack down into small, maintainable and testable pieces
What you need
- 5+ years of relevant professional work experience
- Master’s degree in Computer Science, Information Technology or a related field
- Excellent proficiency in backend software development (Python, Golang)
- Strong proficiency in infrastructure management (Docker, CI/CD, K8s, Helm, Terraform…)
- Good knowledge of cloud ecosystems and understanding of the challenges of deploying LLM in multiple environments (public cloud, private cloud, on-premises)
- Autonomous and self-starter profile
- Ability to communicate with influence
