Software Engineer, Agents

Reposted 19 Days Ago
3 Locations
In-Office
200K-200K Annually
Senior level
Artificial Intelligence • Software
We use AI to understand human ability and match talent with the opportunities they're best suited for.
The Role
As a Software Engineer, you'll architect and scale distributed systems, mentor junior engineers, and influence product decisions for AI development projects.
Summary Generated by Built In
About Mercor

Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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:

  • 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

At the end of the process, you’ll 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 scale—handling talent management, decision-making insights, and knowledge access—so humans can focus on higher-level thinking.This is a newly formed, CEO-facing team focused on 0→1 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 Mercor’s 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 You’ll 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 Next.js/React 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 world’s 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

Skills Required

  • Strong coding fundamentals in Python
  • Deep understanding of distributed systems
  • Experience shipping production systems
  • Strong communication skills

Mercor Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mercor and has not been reviewed or approved by Mercor.

  • Fair & Transparent Compensation Pay is considered competitive across many roles, with clear hourly ranges and an hourly/pay‑per‑task mix designed to align rates with expertise. The structure emphasizes transparent, appropriate pay levels and guarantees payment for legitimate logged time.
  • Strong & Reliable Incentives Payments are processed on a predictable weekly cadence via Stripe/Wise, and some tracks offer additional weekly bonus incentives for top performers. This combination of regular payouts and performance bonuses supports dependable earnings when projects are active.
  • Equity Value & Accessibility Select full‑time roles include generous equity grants alongside cash perks such as relocation and housing bonuses. These elements increase total compensation for those positions.

Mercor Insights

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The Company
HQ: San Francisco, California
2,217 Employees
Year Founded: 2023

What We Do

We use AI to understand human ability and match talent with the opportunities they're best suited for.

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