27 days ago
Base Salary
$130k - $500k/yr
Responsibilities
- Design services and state models for multi-stage workflows spanning automated processing and expert review.
- Build orchestration primitives for retries, failure recovery, idempotency, auditable state transitions, and long-running jobs.
- Integrate model inference into production workflows while preserving debuggability and human oversight.
- Build APIs and tooling for product, operations, and ML teams to operate and debug workflows at scale.
- Own reliability, observability, and the full lifecycle of backend systems from design through improvement.
Requirements
- Production backend engineering experience with strong system-design judgment.
- Fluency with distributed-systems concepts including asynchronous workflows, queues, idempotency, retries, and long-running jobs.
- Ability to translate ambiguous product, operational, and ML constraints into clean, debuggable systems.
- Comfort working with Python, AWS, and Postgres.
- Experience with Temporal or similar workflow engines is preferred.
Benefits
- Bi-annual performance bonus structure and generous equity grant.
- Relocation, housing, meal, laundry, and personal wellness benefits.
- Free Equinox membership.
- Health, dental, and vision insurance.
- In-person work five days per week in the San Francisco, New York City, or London office.
Tech Stack
Categories
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.