Member of Technical Staff, Agentic Systems
Core
Design and ship backend services and agent infrastructure for Mercor's talent network, enabling AI agents to source, screen, match, and support experts with minimal human intervention.
Role type
Senior IC backend engineer (agentic systems)
Builds
Production agent orchestration, tool interfaces, evaluation layers, and data models for a network of tens of thousands of experts.
Domain
AI infrastructure / Talent technology
Deliverable
production ML models
Required skills
distributed systems, service architecture, data modeling, API design, LLM production experience (agents, tool use, retrieval, evaluation), end-to-end system ownership, modern AI dev tools (Cursor, Claude Code, GitHub Copilot)
Preferred skills
ability to work with ambiguity, strong technical judgment, clear technical writing
Technologies
LLMs, agent frameworks, orchestration systems, evaluation frameworks
Responsibilities
Design and build backend services for agentic workflows including orchestration, tool calling, retries, and human-in-the-loop review; Ship agents into production and iterate based on real usage metrics; Build evaluation infrastructure for offline and online agent performance; Design scalable data models and APIs; Ensure agent decisions are observable, auditable, and reversible; Partner with product and researchers to define agent vs. deterministic workflows; Establish backend engineering standards and patterns.
Seniority
Senior, hands-on IC