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

Join a leading AI lab’s cutting-edge GenAI team and help build foundational AI models from the ground up. We’re seeking talented Senior Full-Stack Software Engineers with deep, hands-on production expertise 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 commitment of 40 hours per week., * 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.

• 6+ years of dedicated professional experience building and shipping production software at a recognized, top-tier organization, including ownership of systems end to end.
• Deep production experience in at least one of Python, Java, Rust, C#, or C++, plus demonstrated delivery in a second language across a different ecosystem - this cohort is intentionally staffed across multiple language ecosystems.
• Hands-on ownership across the stack: backend service and API design, a modern front-end framework (React or equivalent), data modelling, and cloud deployment and operations.
• 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.