Mercor
Member of Technical Staff, Agentic Systems
San Francisco · Staff+
Sponsorship not specifiedDetected 46 days ago
Distributed SystemsBackend DevelopmentGitAPI DevelopmentLLMsAgentic AILeadershipCommunication
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Sponsors this role90
Entry-level history0
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Lottery odds40
Fits your clock70
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About the role
- This is production agent engineering at real volume, against a network of tens of thousands of experts and the demands of the world's leading AI labs.
- A growing share of Mercor's core work runs on agents:
Responsibilities
- Design, build, and own the backend services powering Mercor's agentic workflows-orchestration, tool calling, retries and fallbacks, and human-in-the-loop review.
- Build the evaluation infrastructure that tells us whether an agent is actually working-offline evals, online metrics, and regression detection.
- Design core services, data models, and APIs that scale with the talent network and stay legible as agent behavior changes underneath them.
- Partner with product, operations, and AI researchers to decide what should be an agent, what should stay deterministic, and where a human belongs in the loop.
- Strong fundamentals in distributed systems, service architecture, data modeling, and API design at scale.
- Comfort with ambiguity: agent systems fail in ways traditional services don't, and the right design is rarely obvious upfront.
- A track record of owning systems end to end, from design through production operation.
Requirements
- 5+ years of professional backend engineering experience.
Benefits
- Generous equity grant vested over 4 years
- A $20K relocation bonus (if moving to the Bay Area)
- A $10K housing bonus (if you live within 0.5 miles of our office)
- A $1.5K monthly stipend for meals
- Health insurance
- Hands-on experience building with LLMs in production-agents, tool use, retrieval, or evaluation systems-or a clear track record of learning new systems fast and shipping them.
Company info
- 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.
- Location Preference
- What We're Looking For
This listing is sourced directly from Mercor's careers page and normalized into a canonical job model.