about 5 hours ago
Base Salary
$130k - $500k/yr
Responsibilities
- Own the agent platform across its React frontend, backend APIs, and services orchestrating agents, workflows, and integrations.
- Deliver features, reliability, and polish for hundreds of internal users and dozens of enterprise clients.
- Build foundational platform capabilities that enable new agent use cases, task formats, and client configurations.
- Ship product features that improve internal productivity and customer-facing quality.
- Translate ambiguous requirements into well-scoped technical solutions in collaboration with applied AI researchers, product, design, and operations.
Requirements
- At least two years of full-stack engineering experience building and shipping production software.
- Deep proficiency in JavaScript or TypeScript, including React and Next.js, with strong frontend architecture, state management, and design-pattern knowledge.
- Solid backend experience with Python and/or Node.js, including relational databases, REST APIs, and asynchronous task infrastructure.
- Experience with complex, high-throughput systems such as pipelines, large data volumes, or multi-tenant architectures.
- Strong design sense, empathy for end users, ownership, communication, and ability to navigate ambiguity and explain technical and product tradeoffs.
- Preferred experience with agent frameworks, LLM-powered products, human-in-the-loop AI workflows, design systems, developer-facing APIs, internal platform engineering, AI tools, real-time data, data visualization, or high-growth technology companies.
Benefits
- Bi-annual performance bonus structure
- Generous equity grant vested over four years
- Relocation bonus
- Proximity bonus for employees living near the office
- Monthly meal stipend
- Free Equinox membership
- Monthly laundry reimbursement
- Monthly personal wellness reimbursement
- Health, dental, and vision insurance
- In-person work five days per week in San Francisco, New York City, or London
Tech Stack
Categories
About Mercor
We find the best experts in every professional domain and put their knowledge to work training frontier models. Through APEX, we measure whether those models can actually perform economically valuable work. We're also bringing that expertise to enterprises: deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems.