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Software Engineer, Agentic Product

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site
Benefits
Health Insurance
Dental Insurance
Vision Insurance

Job Description

About Mercor

Mercor is defining the future of work. 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

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

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FAQs About Software Engineer, Agentic Product Jobs at Mercor

What is the work location for this position at Mercor?
This job at Mercor is located in San Francisco, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Mercor?
Employer has not shared pay details for this role.
What employment applies to this position at Mercor?
Mercor lists this role as a Full-time position.
What experience level is required for this role at Mercor?
Mercor is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Mercor for this role?
Mercor offers following benefits: Health Insurance, Dental Insurance, Vision Insurance, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Mercor?
You can apply for this role at Mercor either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.