Mercor · New York City
Build agentic product features end-to-end, including LLM agents, harnesses, verifiers, and RL environments. After matching, the role is placed on either Automation, a CEO-facing 0→1 team, or Studio, which owns the evaluation system and annotation platform. Stack: Python/FastAPI, Django, Next.js/React, PostgreSQL, Snowflake, Temporal, Modal, Kubernetes, LangGraph, LangChain.
About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
We're looking for a strong engineer who can build agentic products that scale. You will work with:
At the end of the process, you’ll be team-matched to where you can have the most impact, on one of the following:
What You’ll Do
Why Mercor
Benefits
Compensation: $160K - $500K