Full-Stack AI Systems Engineer

Proven experience in small, fast-paced teams with high ownership Strong command of at least one major backend-focused stack: TypeScript, Python, Go, or Java Background as a product engineer, platform engineer, or ML engineer who has built real systems Ability to independently break down complex technical problems Ability to debug unfamiliar systems Solid fundamentals in software engineering Confidence to work inside large, unfamiliar codebases on short timelines

Build and maintain RL environments and sandbox systems Rapidly onboard to new codebases (every 4–6 weeks) and develop a strong understanding Design RL tasks and scenarios around new codebases Create engineering challenges, design mocks, write comprehensive test suites, and handle supporting infra pieces Build internal tools, utilities, and frameworks Contribute across the stack, primarily owning backend behavior, system logic, and environment dynamics