Full-Stack Software Engineer (Python, Java, Rust, C#, C++)

Role Overview

Build and stress-test production software on top of frontier large language models, helping evaluate their real-world capabilities before release. You will work directly with an AI lab engineering manager on fast-moving projects, quickly onboard to unfamiliar codebases, and deliver working code early.

Key Responsibilities

• Build and ship full-stack applications, services, and internal tools using Python, Java, Rust, C#, C++, or TypeScript to exercise model capabilities end to end.
• Integrate pre-release model APIs into functional software, including tool interfaces, evaluation harnesses, and telemetry.
• Identify, diagnose, and document model and integration failure modes, turning engineering findings into clear written feedback for research teams.
• Rapidly prototype against changing requirements and deliver working increments with limited upfront specification.
• Collaborate with the engineering manager and other engineers on code quality, architecture, and technical documentation.

Qualifications

• At least 3 years of dedicated professional experience building and shipping production software at a recognized top-tier organization.
• Production experience in at least one of Python, Java, Rust, C#, or C++, plus working proficiency in a second programming language.
• Hands-on full-stack experience with backend services and APIs, a modern front-end framework such as React, relational or document databases, and cloud deployment.
• Ability to quickly contribute working code in an unfamiliar codebase with minimal ramp-up.
• Demonstrable career progression.
• Strong written communication skills, including the ability to explain complex technical decisions clearly.

Work Terms

• United States-based, hourly W-2 employment.
• Full-time weekday commitment of at least 40 hours per week.
• Compensation: $50 to $65 per hour.
• The team is intentionally staffed across multiple programming-language ecosystems.

Eligibility

Employment decisions are made without discrimination based on legally protected characteristics, including race, religion, color, national origin, sex, pregnancy or related medical conditions, sexual orientation, gender identity or expression, age, veteran status, disability, genetic information, or political views or activity.