Senior Member of Technical Staff, Platform

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.

• 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.

On-site in Palo Alto, California, United States.

• 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 larger technology organizations and early-stage startup or research environments, with a track record of owning systems and continuing to write code.

• Familiarity with data pipelines, job scheduling, or ML experimentation workflows is helpful.

Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.