Member of Technical Staff, Agentic Systems
Mercor · San Francisco
CHECKED 13M AGO
Applied AIonsitesenior$160k–$500k
At a glance
Highlights
- Build backend orchestration powering agentic sourcing, screening, and matching.
- Ship production agents serving tens of thousands of experts and top AI labs.
- Make agent decisions observable, auditable, and reversible at real volume.
What they offer
- 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 office
- $1.5K monthly stipend for meals
- Free Equinox membership
- Health insurance
Ideal candidate
A high-ownership backend builder who thrives in ambiguity and loves shipping production agent systems end to end, partnering closely with product and researchers to decide where agents help and humans belong.
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 clear track record of learning new systems fast and shipping them
- 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
- Fluent in using modern AI development tools (e.g. Cursor, Claude Code, GitHub Copilot, or similar) to improve engineering productivity
- Strong opinions, loosely held: you drive alignment through technical judgment and clear writing, not authority
- Excellent communication skills — able to make complex tradeoffs legible to both engineers and leadership
- High ownership, pragmatism, and a bias toward shipping
- remote policy
- In-person 5 days a week
Lab profile
About Mercor
AI data company organizing human expertise to train frontier models for the AI economy.
What they build
- APEX benchmark family
- Mercor Enterprise
- Human expertise training data platform
Known for
- Massive domain-expert network
- Frontier model training infrastructure
- Real-world professional work evaluation
Key facts
- Millions of domain experts on platform
- Pays over $4M per day to experts