Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.

1. Overview

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Full-Stack Software Engineers with hands-on production experience across modern application stacks — Python, Java, Rust, C#, C++, and TypeScript — to build, integrate, and stress-test real software on top of frontier models before they ship. Engineers work directly with the AI lab's engineering manager on fast-moving projects and are expected to onboard quickly and contribute working code early.

This is a full-time engagement of 40 hours per week.

2. Key Responsibilities

• Build and ship full-stack applications, services, and internal tools — in Python, Java, Rust, C#, C++, or TypeScript — that exercise frontier model capabilities end to end.

• Integrate pre-release model APIs into working software, including the surrounding scaffolding: tool interfaces, evaluation harnesses, and telemetry.

• Diagnose and document model and integration failure modes surfaced while building, translating engineering observations into clear written feedback for the research team.

• Prototype quickly against shifting requirements, delivering working increments with limited up-front specification.

• Collaborate with the engineering manager and other engineers to maintain consistency in code quality, architecture, and technical documentation.

3. Core Qualifications

• 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 language — this cohort is intentionally staffed across multiple language ecosystems.

• Hands-on experience across the stack: backend services and APIs, a modern front-end framework (React or equivalent), relational or document databases, and cloud deployment.

• Demonstrated ability to onboard onto an unfamiliar codebase and deliver working code quickly with minimal ramp-up.

• Demonstrable career progression.

• Ability to engage reliably for at least 40 hours/week during weekdays.

• Strong written communication skills and the ability to explain complex technical decisions clearly.