Overview:
- Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up.
- We are 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.
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.
- Translate 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.
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++.
- Working proficiency in a second language.
- 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.
- We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
