# Software Engineer, Automation

- **Company:** Mercor
- **Location:** San Francisco, CA, US (On-site)
- **Salary:** US$ 160,000 – 500,000 per year
- **Contract:** Full-time
- **Posted:** 2026-03-12

## Job description

About Mercor Mercor’s mission is to organize human intelligence for the AI economy. We build the infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. More than five million experts have joined our network, and we pay out over $5 million daily for their knowledge and expertise.
We built our training and evaluation infrastructure alongside the world’s leading AI labs. Now, we’re bringing those capabilities to enterprises across industries, enabling them to train, evaluate, and improve AI using their own expertise and standards. Our APEX benchmarks measure how AI performs on economically valuable work, while our enterprise evaluations and post-training capabilities turn those insights into measurable improvements across real-world workflows.
Our work sits at the intersection of frontier AI, human expertise, and real-world application. We’re solving problems few companies have encountered, with the opportunity to influence what the world’s most advanced AI systems become capable of doing. We’re looking for people who bring different perspectives, take ownership, exercise sound judgment, and hold themselves to an exceptionally high standard. You’ll have the opportunity to do consequential work alongside talented colleagues who challenge one another, collaborate openly, and share a commitment to excellence.
Mercor is profitable and recently raised a $750 million Series D at a $20 billion valuation. We work in person five days a week in San Francisco, New York, and London.
About the Role
As a Software Engineer on the Automations team at Mercor, you’ll join a small, high-leverage engineering group building the autonomous systems that run Mercor’s internal operations — and eventually, operations at scale for the companies we serve.
This is not a research role. You’ll design and ship production agents that take real actions: scheduling interventions, executing operational playbooks, managing talent pipelines, and surfacing decisions that previously required hours of manual click-ops. From day one, you’ll own systems end-to-end — from MCP server design to evaluation frameworks — working directly with operators and platform engineers to turn repeatable human workflows into reliable, autonomous ones.
You’ll reason about correctness, rollback, observability, and trust in systems that touch payments, contracts, and people’s livelihoods. This is greenfield agentic infrastructure with immediate real-world impact.
What You’ll Do
Build and maintain MCP servers that give agents structured access to Mercor’s platform reading project state, taking management actions, and triggering communications.
Design and implement evaluation frameworks to measure agent decision quality and drive continuous improvement through feedback loops.
Develop action queues and playbook orchestration systems that allow agents to execute multi-step workflows with conditional logic.
Instrument agent systems end-to-end — capturing outcomes, closing feedback loops, and enabling hill-climbing on eval metrics.
Collaborate directly with operators to identify high-leverage automation opportunities and translate them into robust agent behaviors.
Debug and harden agent systems in production, designing for reliability at scale.
Contribute to foundational patterns and infrastructure that the rest of the company will build on.
What We’re Looking For
Strong backend engineering fundamentals in Python (or equivalent modern language).
Experience building with LLM APIs — including tool use, structured outputs, and multi-step reasoning workflows.
Comfort designing evaluation frameworks and thinking rigorously about agent failure modes.
Ability to ship quickly and iterate on systems that interact with the real world.
Understanding of distributed systems, APIs, and production infrastructure.
Full-stack experience is a plus — owning features end-to-end will increase your impact.
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

[Apply on the company site](https://www.joonow.com/en/job/software-engineer-automation-san-francisco-california-c3fytxkgrg/apply)