Member of Technical Staff, Platform – AI Data Startup

You've made long, fragile jobs reliable  the infrastructure bar for a platform aiming at trillions of tokens a week.

This seed-stage San Francisco startup grows quickly: its engineers work inside engineering and life-sciences companies, it tests the automations they build with evals, and it sells the data and RL environments that come out of it to frontier AI labs. It already runs at an eight-figure revenue rate. You'd be roughly the seventh engineer, and this is the hire where the founders want high infrastructure standards rather than speed at any cost.

You get to define them.

They're hiring 2 platform engineers.

• The platform behind multi-hour agent runs that span model APIs, remote sandboxes and background workers
• The pipelines that execute tasks, collect eval results and deliver datasets
• The tooling experts use to create and check tasks
• Reliability, observability and recovery for long-running jobs that fail in unexpected ways

• Deep production experience with distributed systems, data pipelines or performance tuning (backend work at the application level only isn't enough)
• Experience on a team with a very high engineering bar, or as an early engineer who built and scaled a startup's infrastructure
• 3+ years of experience, including at least one project you owned from requirements to release
• You work well on loosely defined problems without a spec
• Working from the San Francisco office, 9-9-6

• Agent, inference or eval infrastructure
• Kafka, Kubernetes or similar at scale
• Side projects and strong opinions on good infrastructure practice

• $200k-$400k base + 0.1-0.5% equity
• The chance to set the engineering standards of a fast-growing company
• Health, dental and vision cover, a gym, and a $1,000 monthly meal budget

• Full-time, on-site in San Francisco, 9-9-6
• Visa options are limited: US citizens and green card holders, refugees or asylees, and H-1B, O-1 or TN holders can be considered, so please share your exact status
• Process: screening - system-design interview (1 hour) - open-ended coding interview (1 hour, AI tools allowed) - one day on-site - offer