Python · Kubernetes · Docker
ABOUT THE ROLE
Build the platform and backend systems that support AI research and customer-facing agent products. This hands-on role spans infrastructure engineering, developer tooling, and production serving, working closely with research and product teams.
WHAT YOU'LL DO
- Design and maintain cloud infrastructure, storage, CI/CD, observability, and security for research and product environments.
- Build internal developer tools, automation, and shared libraries that help teams work efficiently.
- Develop reliable systems for data management, model experimentation, evaluation, and deployment.
- Improve build, test, and release workflows from prototype through production.
- Monitor service and pipeline performance, troubleshoot bottlenecks, and improve reproducibility.
- Build and scale backend serving systems for agent workloads, including availability, tracking, security, and networking.
- Contribute to platform architecture and infrastructure strategy as systems scale.
WHAT WE'RE LOOKING FOR
- Five to twelve years of backend or platform engineering experience, including senior or staff-level individual-contributor work and daily coding.
- Experience building a customer-facing product platform from the ground up, ideally for LLM or agent workloads.
- Strong backend fundamentals in Python or Go, APIs, databases, storage, and distributed systems.
- Working experience with Kubernetes and a major cloud platform, such as AWS or Google Cloud.
- Production experience with LLM or agent serving, orchestration, memory, tool use, or evaluations.
- Exp