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About the Role
As a Member of Technical Staff on Talent Experience, you will build the backend systems and agent infrastructure for Mercor's talent network. You will design and ship the services that agents run on, including orchestration, tool interfaces, evaluation and guardrail layers, and auditable data models. This role involves production agent engineering at scale, supporting tens of thousands of experts and the demands of leading AI labs.
Responsibilities
- Design, build, and own the backend services powering Mercor's agentic workflows, including orchestration, tool calling, retries and fallbacks, and human-in-the-loop review.
- Ship agents into production and iterate on them based on real usage, considering prompts, tools, guardrails, and cost/latency tradeoffs.
- Build the evaluation infrastructure to assess agent performance, including offline evaluations, online metrics, and regression detection.
- Design core services, data models, and APIs that scale with the talent network and remain understandable as agent behavior evolves.
- Make agent decisions observable, auditable, and reversible to ensure early detection and quick understanding of failures.
- Partner with product, operations, and AI researchers to determine which functions should be automated by agents, which should remain deterministic, and where human involvement is necessary.
- Establish backend engineering standards and patterns, and elevate the technical capabilities of surrounding engineers.
Requirements
- 5+ years of professional backend engineering experience.
- Strong fundamentals in distributed systems, service architecture, data modeling, and API design at scale.
- Hands-on experience building with LLMs in production (agents, tool use, retrieval, or evaluation systems) or a proven ability to quickly learn and ship new systems.
- Comfort with ambiguity in agent system design and operation.
- A track record of owning systems end-to-end, from design through production operation.
- Fluent in using modern AI development tools (e.g., Cursor, Claude Code, GitHub Copilot, or similar) to enhance engineering productivity.
- Strong technical judgment and clear communication skills, with the ability to drive alignment.
- Excellent communication skills, capable of making complex tradeoffs understandable to both engineers and leadership.
- High ownership, pragmatism, and a bias toward shipping.
Skills
- Distributed systems
- Service architecture
- Data modeling
- API design
- LLM development
- Agent engineering
- Tool use
- Retrieval systems
- Evaluation systems
- Modern AI development tools
Location
- San Francisco
Work Type
- In-person
Experience Level
- 5+ years of professional backend engineering experience
Benefits
- Generous equity grant vested over 4 years
- $20K relocation bonus (if moving to the Bay Area)
- $10K housing bonus (if living within 0.5 miles of our office)
- $1.5K monthly stipend for meals
- Free Equinox membership
- Health insurance
About the Company
- Mercor's mission is to organize human intelligence to power the AI economy.
- We are 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 infrastructure to Fortune 500 companies, helping them capture how their best people work and translate that expertise into agents.
- Mercor is creating a new category of work where expertise powers AI advancement.
- We are an ambitious, fast-paced, and deeply committed team.
- You’ll work alongside researchers, operators, and AI companies at the forefront of shaping systems that are redefining society.
- Mercor is a profitable Series C company valued at $10 billion.