Software Engineer, Automation

Mercor

San Francisco (CA)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Generous equity grant vested over 4 years

$10K housing bonus (if living within 0.5 miles of office)

$1.5K monthly stipend for meals

Free Equinox membership

Health insurance

Job summary

A leading AI infrastructure company in San Francisco is seeking a Software Engineer to join their Automations team. This role involves building and maintaining critical systems for digital operations. The successful candidate will have a strong foundation in backend engineering with Python and experience in LLM APIs. Benefits include generous equity grants, a housing bonus, monthly meal stipends, and comprehensive health insurance. This is an opportunity to have a significant impact on AI advancements.

Qualifications

Strong backend engineering fundamentals in Python or equivalent modern language.
Experience building with LLM APIs, including tool use and structured outputs.
Ability to design evaluation frameworks and think rigorously about agent failures.

Responsibilities

Build and maintain MCP servers for structured access to platform.
Design and implement evaluation frameworks to measure agent decision quality.
Develop action queues and playbook orchestration systems.
Instrument agent systems to capture outcomes and close feedback loops.
Collaborate with operators to identify automation opportunities.
Debug and harden agent systems in production.

Skills

Backend engineering fundamentals in Python

Building with LLM APIs

Designing evaluation frameworks

Iterative shipping of systems

Understanding of distributed systems

Full-stack experience

Job description

About Mercor

Mercor is at the intersection of labor markets and AI research. 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 new San Francisco headquarters.

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