Fullstack Software Engineer, Agent Platform

Our agent platform is the core system Mercor uses to build, run, and showcase AI agents — the same platform our teams rely on internally every day and the one we demo live on customer calls. It is simultaneously our internal workbench and our external storefront. As a Full Stack Software Engineer on the Agent Platform team, you'll own these journeys end-to-end: the React frontend people interact with and the backend services that orchestrate agents, data, and integrations.

Responsibilities

Own the agent platform across the full stack — from the internal- and client-facing React interfaces to the backend APIs and services orchestrating agents, workflows, and integrations; Enable hundreds of internal users and dozens of enterprise clients — ship the features, reliability, and polish that make the platform their daily driver and a confident live demo; Build the foundational layer other teams depend on to stand up new agent use cases, task formats, and client configurations quickly and without rework; Ship high-leverage product features that raise both internal productivity and the customer-facing quality of the platform; Translate ambiguous requirements into well-scoped technical solutions through close collaboration with Applied AI researchers, product, design, and operations.

Requirements

2+ years of fullstack engineering experience building and shipping production software; Deep proficiency in JavaScript/TypeScript (React + Next.js) and a strong grasp of frontend architecture, state management, and design patterns; Solid backend experience in Python and/or Node.js — designing and building relational databases, REST APIs, and async task infrastructure; Strong design sense and empathy for end-users; you hold a high bar for usability; Experience with complex, high-throughput systems — pipelines, large data volumes, or multi-tenant architectures; High ownership mindset; able to navigate ambiguity and drive projects from design through delivery; Strong communication skills and ability to articulate technical and product tradeoffs clearly.

Nice to have

Experience building agent frameworks, LLM-powered products, or human-in-the-loop AI workflows; Background in design systems, developer-facing APIs, or internal platform engineering; Exposure to AI tools, real-time data, or data visualization; Experience at top-tier tech companies or fast-scaling startups.

Benefits

Bi-annual performance bonus structure; Generous equity grant vested over 4 years; Up to $15k Relocation bonus; $10K proximity bonus (if you live within 0.5 miles of our office); $1.5K monthly stipend for meals; Free Equinox membership; $200 monthly laundry reimbursement; $200 monthly personal wellness reimbursement; Health, Dental, Vision insurance