GenAI Full-Stack Engineer for Frontier LLMs

Mercor

San Francisco (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+
Application generator

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Job summary

Mercor seeks experienced Full-Stack Software Engineers to build, integrate, and stress-test production software atop frontier AI models. You’ll work with Python, Java, Rust, C#, C++, and TypeScript across the stack, shipping end-to-end solutions with a focus on reliability and observability.

This is a 40-hour/week W-2 role through Cincinnatus LLC, with placement at a leading AI lab. Candidates should onboard quickly and contribute working code early.

Qualifications

  • 3+ years of dedicated professional experience building and shipping production software at a recognized, top-tier organization.
  • Proficient in multiple languages (Python, Java, Rust, C#, C++, TypeScript) and able to contribute across the full stack.
  • Experience with backend services, APIs, front-end frameworks (React or similar), databases, and cloud deployment.

Responsibilities

  • Build and ship full-stack applications, services, and internal tools that exercise frontier model capabilities end to end.
  • Integrate pre-release model APIs into working software and related scaffolding including interfaces, evaluation harnesses, and telemetry.
  • Diagnose and document model and integration failure modes and provide clear feedback to research teams.
  • Prototype quickly against shifting requirements and deliver working increments with limited upfront specification.
  • Collaborate with the engineering manager and other engineers to maintain code quality, architecture, and documentation.

Job description

Mercor seeks experienced Full-Stack Software Engineers to build, integrate, and stress-test production software atop frontier AI models. You’ll work with Python, Java, Rust, C#, C++, and TypeScript across the stack, shipping end-to-end solutions with a focus on reliability and observability.

This is a 40-hour/week W-2 role through Cincinnatus LLC, with placement at a leading AI lab. Candidates should onboard quickly and contribute working code early.

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