- San Francisco, California, United States
- On-site
- Full-time
- $200K–$300K per year
- 2–6 years
Design and build the core execution layer of an AI-driven product, covering runtime orchestration, tool integration, state handling and the reliability and evaluation work that lets it run in production.
Compensation
Base salary: USD 200,000 to 300,000 per year
Responsibilities
- Build a runtime that coordinates model calls, tool invocations, retries, checkpoints and handoffs to people across long-running multi-step jobs.
- Structure multi-step processes as graphs linking software agents, external tools and decision points so they can be traced and resumed after a failure.
- Wrap external scientific engines, data stores and laboratory systems behind well-tested interfaces.
- Create evaluation harnesses, tracing and regression suites that measure outcomes at the level of the end user's task.
- Help model scientists build the data pipelines that record model runs and feed results back into training.
Requirements
- Master's degree
- PhD
- Nice to have: data collection pipelines
- Nice to have: reinforcement learning
- Nice to have: technical software libraries
Skills
Benefits
- Equity
- Health, dental and medical coverage