- San Francisco, California, United States
- Hybrid
- Full-time · Senior
- $200K–$250K per year
- 1–2 years
Design and build the software layer that lets language models carry multi-step tasks to completion, covering tooling, context, state and feedback.
Compensation
Base salary: USD 200,000 to 250,000 per year
Responsibilities
- Build the scaffolding that gives language models tools, context and execution environments to finish multi-step tasks.
- Define how automated agents plan, act, track state, recover from errors and pass work back to people.
- Prototype new AI-driven features, test them on real user problems and move the strongest into production.
- Create evaluation suites that score task completion and decision quality, and turn production failures into repeatable test cases.
- Diagnose faults across the whole stack, from the instructions given to a model through its tool connections and workflow sequencing.
Requirements
- Computer science degree
- Nice to have: computer science degree from a top 50 US university
- Nice to have: long-running agent familiarity
- Nice to have: code-writing agent exposure
- Nice to have: test framework creation