Software Engineer, Agents

The role

You will build agentic products that scale, including LLM agents, harnesses, and verifiers. You will work on backend services, orchestration pipelines, RL environments, and full-stack interfaces.

What you will do

• Own agentic features end-to-end from scoping to implementation and launch
• Design and ship LLM agents, harnesses, and verifiers
• Build Python/FastAPI services and Temporal/Modal pipelines
• Build state of the art RL environments
• Build tooling that turns agent trajectories into insight
• Build and refine full-stack surfaces and data infrastructure
• Define agent quality and drive continuous improvement
• Partner cross-functionally to shape agent autonomy

Required qualifications

• Backend: Python, FastAPI, Django, Pydantic
• Frontend: Next.js, React, TypeScript, Tailwind
• Data: PostgreSQL, MySQL, Snowflake, DuckDB, Redis
• Orchestration/Infra: Kubernetes, Temporal, Modal, Woz
• Agents/LLM: LangGraph, LangChain, FastMCP, Harbor, NemoGym
• Observability: Datadog, PostHog, LangSmith

Benefits

• Bi-annual performance bonus structure
• Generous equity grant vested over 4 years
• Up to $15k Relocation bonus
• $10K housing bonus (if you live within 0.5 miles of our office)
• $1.5K monthly stipend for meals
• Free Equinox membership
• $200 monthly laundry reimbursement
• $200 monthly personal wellness reimbursement
• Health, Dental, Vision insurance

About the company

Mercor builds infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. The company is profitable and recently raised a $750 million Series D at a $20 billion valuation.