- Palo Alto, California, United States
- Full-time · Senior
- 5–12 years
Engineers in Core AIown the horizontal runtime, intelligence, and improvement capabilities, including agent runtime, evaluation, and self-improving systems.
Compensation
competitive cash compensation and meaningful equity
Responsibilities
- Develop the learning data plane around agents: structured trajectories, feedback and outcome signals, offline datasets, lineage, privacy controls, and reliable links between an agent version and its behavior.
- Create evaluation systems for task completion, tool use, long-horizon behavior, safety, latency, and cost, and own the credibility of the numbers they produce.
- Design experiment and versioning systems for comparing changes through replay, shadow traffic, canaries, or controlled rollouts, with clear promotion and rollback criteria.
- Build durable orchestration for long-running tasks, checkpoints, approvals, handoffs, and human-in-the-loop interactions, with typed tool interfaces, protocol-based execution, and memory retrieval that enforces tenant, user, and project visibility boundaries.
- Own the execution environments agents run in, including isolation, startup performance, resource limits, and cost, and the policy layer that gates self-modification so a proposed change is staged and tested rather than applied silently.
Requirements
- Nice to have: Kubernetes
- Nice to have: reinforcement learning