2 months ago
Base Salary
$130k - $500k/yr
Responsibilities
- Design, build, and operate services for authentication and authorization, credential brokering, routing, sandboxing, and orchestration.
- Define interfaces for agent developers and maintain an easy-to-follow paved path.
- Build an event-driven backbone with idempotent ingestion under horizontal scaling.
- Own deployment models across hosted environments, customer VPCs, and multi-cloud deployments.
- Ensure tenant isolation and enforce per-run quotas and spending boundaries.
- Own latency, throughput, cost per run, and production debugging as platform volume grows.
- Set technical direction for owned platform areas and partner with Applied AI engineers on deployment challenges.
Requirements
- 5+ years of experience building high-scale, complex software systems.
- Experience building and operating a platform depended on by other engineers, including ownership of architectural decisions.
- Hands-on experience with several platform primitives, including authentication and authorization, secrets, isolation, orchestration, egress, and durable state, across more than one cloud.
- Ability and motivation to improve system performance and cost after launch.
- Ability to work independently on ambiguous, loosely specified problems.
- Experience with LLM applications, agent frameworks or harnesses, evals, or deployed software is a bonus.
Benefits
- In-person work five days per week in San Francisco, New York City, or London offices.
- Generous equity grant vested over four years.
- Free Equinox membership.
- Monthly laundry reimbursement.
- Monthly personal wellness reimbursement.
- Health, dental, and vision insurance.
- Relocation, housing, and meal support are available.
About Mercor
Mercor builds an expert-powered platform that trains, evaluates, and deploys AI systems for AI labs and enterprises. It operates APEX to assess model performance on economically valuable tasks, and provides services such as custom AI agents and teams of vetted domain experts who encode organizational knowledge into AI. Founded in 2023 and headquartered in San Francisco, it is privately held and works with frontier AI labs and enterprise clients requiring strict data isolation.