Full-Stack Engineer, AI Agent Platform

Mercor

San Francisco (CA)

On-site

USD 140,000 - 200,000

Full time

9 days ago

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Benefits offered by this job

Bi-annual bonus
Equity grant
Relocation bonus
Proximity bonus
Meals stipend
Equinox membership
Laundry reimbursement
Wellness reimbursement
Health insurance
Dental insurance
Vision insurance

Job summary

Mercor in San Francisco is hiring a Full Stack Software Engineer for the Agent Platform. You will own journeys end-to-end, from React frontend to backend services orchestrating agents, data, and integrations. You'll enable hundreds of internal users and dozens of enterprise clients, shipping features with reliability and polish.

This role balances engineering craft with product impact. Collaborate with Applied AI researchers, product, design, and operations to translate ambiguous requirements

Qualifications

  • 2+ years of fullstack engineering experience.
  • Proficiency in JavaScript/TypeScript with React/Next.js.
  • Backend experience with Python and/or Node.js; REST APIs.

Responsibilities

  • Own the agent platform across the full stack.
  • Enable internal users and enterprise clients; ship features with polish.
  • Build foundational layer for new agent use cases and configurations.
  • Ship high-leverage features to boost internal productivity and customer-facing quality.
  • Collaborate with researchers, product, design, and operations to translate requirements into solutions.

Skills

JavaScript/TypeScript
React/Next.js
Python/Node.js
REST APIs
Frontend architecture
User-focused design
High-throughput systems
Ownership mindset

Job description

Mercor in San Francisco is hiring a Full Stack Software Engineer for the Agent Platform. You will own journeys end-to-end, from React frontend to backend services orchestrating agents, data, and integrations. You'll enable hundreds of internal users and dozens of enterprise clients, shipping features with reliability and polish.

This role balances engineering craft with product impact. Collaborate with Applied AI researchers, product, design, and operations to translate ambiguous requirements

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