Senior Platform Engineer (AI Agent Startup)

A well-funded AI startup building an agent-based product wants a platform engineer to run the systems underneath both its research effort and its customer-facing offering. The person in this seat will make the internal engineering foundation faster, more repeatable and easier to trust.

The work

Build and run the cloud foundation behind experiments and live products, covering compute, storage, delivery pipelines, monitoring and security

Create internal tools, automation and shared code that save time for every engineering and research group

Develop dependable systems for managing data, trying out models, scoring them and releasing them

Shape how code travels from first prototype to production, including how it is compiled, verified and shipped

Track service health and performance, and partner with researchers and product engineers to find and remove slowdowns

Help set long-term infrastructure direction while the business expands

Ideal background

Five to twelve years as a backend or platform engineer who has launched a customer-facing platform from zero, ideally one serving LLM or agent workloads

Experience in both large technology companies and early-stage or research settings

Senior or staff individual contributor who still codes daily and owns whole systems

Solid Python or Go, APIs, databases and distributed systems, plus working knowledge of Kubernetes and a major cloud provider

Hands-on production exposure to LLM or agent serving, orchestration, memory, tool use or evaluation

Strong engineering fundamentals and an AI-native way of working

On-site in the South Bay Area (Silicon Valley). Visa transfers considered.