3 hours ago
Base Salary
$130k - $500k/yr
Responsibilities
- Design, build, and operate platform services for authentication and authorization, credential brokering, routing, sandboxing, and orchestration.
- Design interfaces for engineers building agents and maintain an easy paved path for development.
- Build an event-driven backbone that keeps ingestion idempotent during horizontal scaling.
- Own deployment models spanning hosted offerings, customer VPCs, and multi-cloud environments without bespoke builds.
- Enforce tenant isolation and per-run access and spending quotas.
- Own latency, throughput, cost per run, and production debugging as volume grows.
- Set technical direction for owned platform areas and partner with Applied AI engineers on deployment problems.
Requirements
- At least five years of experience building high-scale, complex software systems.
- Experience building and operating a platform relied upon 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 to improve system speed and cost after initial implementation.
- 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 five days a week in San Francisco, New York City, or London offices.
- Generous equity grant vesting over four years.
- Free Equinox membership.
- Monthly laundry reimbursement.
- Monthly personal wellness reimbursement.
- Health, dental, and vision insurance.
About Mercor
We find the best experts in every professional domain and put their knowledge to work training frontier models. Through APEX, we measure whether those models can actually perform economically valuable work. We're also bringing that expertise to enterprises: deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems.