3 months 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
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.