Software Engineer, Automation

About the role

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

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).