Fullstack Software Engineer - Applied AI

2d2 days ago

Mercor

San Francisco, US · Full-time · $130,000 – $500,000

About this role

Mercor is creating a new category of work where expertise powers AI advancement, organizing human intelligence to support the AI economy. As a Fullstack Software Engineer on the Applied AI team, you will own Studio — the internal platform that powers every workflow used to generate, manage, quality-review, and deliver labeled data to the world's leading AI labs.

Day-to-day, you will build and maintain both the React frontend used by thousands of expert contributors and internal Strategic Project Leads, and the backend services powering data pipelines and delivery of outputs to customers. You will also develop the foundational layer that Mercor's Leverage Engineering team depends on to rapidly deploy new data types and task formats across the company.

You will work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. The team operates in-person five days a week in San Francisco, with additional offices in NYC and London.

This role offers the opportunity to directly shape the frontier models that billions of people interact with, working on a high-priority initiative at a profitable Series C company valued at $10 billion. You will translate ambiguous requirements into well-scoped technical solutions through close collaboration with Applied AI researchers, product, design, and operations.

Requirements

5+ 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 — experience 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.

Responsibilities

Own the Studio platform across the full stack — from contributor-facing and operator-facing React interfaces to the backend APIs and pipelines driving data ingestion, QA review, and AI lab delivery.
Lead engineering best practices across the team, setting the bar for frontend architecture, component design, and performance.
Build the foundational layer that Leverage Engineering and other teams depend on to support new data types, task formats, and customer configurations quickly and without rework.
Ship high-leverage product features that improve throughput and quality across core data generation and delivery pipelines.
Translate ambiguous requirements into well-scoped technical solutions through close collaboration with Applied AI researchers, product, design, and operations.

Benefits

Work alongside researchers, operators, and AI companies at the forefront of AI development.
Be part of a profitable Series C company valued at $10 billion.
In-person collaboration five days a week in San Francisco office.
Access to a vast talent network of over 30,000 experts collectively earning over $2 million a day.