cloud infrastructure · ML
ABOUT THE ROLE
Join an AI company's platform team to build the infrastructure and developer tools behind research and customer-facing agent products. You'll work across backend services, agent serving, and ML workflows, helping teams move reliably from experimentation to production.
WHAT YOU'LL DO
- Design and maintain cloud infrastructure for research and product environments, including compute, storage, CI/CD, observability, and security.
- Build internal developer tools, automation, and shared libraries that help engineering and research teams work efficiently.
- Develop reliable systems for data management, model experimentation, evaluation, and deployment.
- Improve build, test, and release workflows to support the path from prototypes to production.
- Monitor service and pipeline performance, diagnose bottlenecks, and improve reliability and reproducibility.
- Contribute to platform architecture and infrastructure strategy as the product scales.
WHAT WE'RE LOOKING FOR
- Five to twelve years of backend or platform engineering experience, including hands-on ownership of a customer-facing product platform built from the ground up.
- Experience building or operating production infrastructure for LLM or agent applications, including serving, orchestration, tool use, memory, or evaluations.
- Strong backend engineering fundamentals, including services and APIs in Python or Go, databases and storage, and distributed systems.
- Working experience with Kubernetes and a major cloud platform, such as AWS or Google Cloud.
- A blend of experience in larg