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Software Engineer, Agents

Mercor


Job Location:

New York City, NY - USA

Yearly Salary: USD 160000 - 500000
Posted: 29 September 2026 (12 hours ago)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

About Mercor

Mercors mission is to organize human intelligence to power the AI economy. Were 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. Mercors APEX benchmark family measures AIs 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. Youll 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

Were looking for a strong engineer who can build agentic products that scale. You will work with:

  • Backend: Python FastAPI Django Pydantic

  • Frontend: 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

At the end of the process youll be team-matched to where you can have the most impact on one of the following:

  • Automation We build intelligent systems and agents that automate operational work at scalehandling talent management decision-making insights and knowledge accessso humans can focus on higher-level is a newly formed CEO-facing team focused on 01 product development with a strong emphasis on business impact. The work is highly cross-functional touching nearly every system across the company.

  • Studio We own Mercors evaluation system & annotation platform for RL environments and tasks. We build harnesses agents verifiers and the end-to-end infrastructure for producing frontier data. Our mission is to scale up high quality RL environments/tasks and expand their capabilities. We work closely with researchers at frontier AI labs to jointly shape the direction of next-generation models.

What Youll Do

  • Own agentic features end-to-end from scoping with researchers/ops partners through implementation launch and iteration on real customer feedback.

  • Design and ship LLM agents harnesses and verifiers including the tools prompts and policies that make them reliable.

  • Build the Python/FastAPI services and Temporal/Modal pipelines that orchestrate agent runs human-in-the-loop review and iterations.

  • Build state of the art RL environments that expand the capabilities of frontier agents with realistic enterprise apps simulated coworkers and rich company data rooms that support tasks spanning hours to days.

  • Build tooling that turns agent trajectories into insight from statistical analysis to automated failure mode detection.

  • Build and refine the full-stack surfaces and data infrastructure craft interfaces where operators and experts work with agents evolve data models to give agents the structured context and audit trails they need.

  • Define agent quality and drive continuous improvement build evals instrument traces analyze failure modes and iterate on prompts tools and guardrails while raising the bar for reliability cost latency and UX.

  • Partner cross-functionally to shape agent autonomy work with Product Design Research and Ops to draw the lines between autonomous action propose-and-approve flows and human-in-the-loop decisions.

Why Mercor

  • Impact: Your work powers how the worlds leading AI labs train and test their models.

  • Learning: Get early insights into frontier model capabilities months before the market.

  • Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership.

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


Required Experience:

Unclear Seniority


About Company

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