2 months ago
Base Salary
$130k - $500k/yr
Responsibilities
- Own agentic features from scoping through implementation, launch, and iteration.
- Design and ship LLM agents, harnesses, verifiers, tools, prompts, and policies.
- Build Python/FastAPI services and Temporal/Modal pipelines for agent runs and human-in-the-loop workflows.
- Develop RL environments, enterprise application simulations, simulated coworkers, and data rooms for frontier-agent tasks.
- Create tooling for statistical analysis, trajectory insights, and automated failure-mode detection.
- Build Next.js/React interfaces and evolve data models, structured context, and audit trails.
- Define agent quality, build evaluations, instrument traces, analyze failures, and improve prompts, tools, guardrails, reliability, cost, latency, and UX.
- Partner with Product, Design, Research, and Operations on agent autonomy and human-approval workflows.
Requirements
- Strong software engineering ability focused on building scalable agentic products.
- Experience or capability across backend, frontend, data infrastructure, orchestration, and LLM-agent systems as reflected in the listed stack.
- Ability to own projects end-to-end and collaborate with researchers, operators, Product, Design, Research, and Operations.
Benefits
- Bi-annual performance bonus structure.
- Generous equity grant vested over four years.
- Up to $15,000 relocation bonus.
- $10,000 housing bonus for employees living within 0.5 miles of an office.
- $1,500 monthly meal stipend.
- Free Equinox membership.
- $200 monthly laundry reimbursement.
- $200 monthly personal wellness reimbursement.
- 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.