MLOps · CI/CD
ABOUT THE ROLE
Join an AI product team building the platform that supports customer-facing agent applications. You will work across backend infrastructure, developer tooling, and MLOps to help research and product teams develop, deploy, and operate reliable systems.
WHAT YOU'LL DO
- Build and maintain cloud infrastructure for compute, storage, CI/CD, observability, and security.
- Develop internal tools, automation, and shared libraries that improve engineering productivity.
- Create reliable systems for data management, model experimentation, evaluation, and deployment.
- Improve build, test, and release workflows from research prototypes through production.
- Monitor service and pipeline performance, diagnose bottlenecks, and improve reliability and reproducibility.
- Design backend services for agent hosting, availability, tracking, security, networking, and scaling.
- Contribute to platform architecture and infrastructure strategy as the product grows.
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 backend platform from scratch for an external product, ideally involving LLMs or agents.
- Recent hands-on experience with production LLM or agent systems, such as serving, orchestration, tool use, memory, or evaluation.
- Strong backend fundamentals in Python or Go, APIs, databases and storage, and distributed systems.
- Working experience with Kubernetes and a major cloud provider, such as AWS or Goo