Senior Full Stack Software Development Engineer - AI, Search & Knowledge

In this role, you will design, build, and maintain full-stack applications that give ML teams visibility and control over their models, datasets, and serving infrastructure. The work spans both frontend (rich, interactive UIs for managing and exploring ML assets, managing deployments) and backend (APIs, data pipelines, integrations with platform services). Day to day, that means collaborating closely with design to craft intuitive experiences for data-intensive workflows, partnering with backend teams to build and surface the right abstractions, and working directly with ML engineers to deeply understand their pain points. The team values rapid iteration: prototype, ship, learn, and maintain high standards for quality, reliability, performance, and usability at scale. Minimum Qualifications Bachelor's degree in Computer Science, related field, or equivalent practical experience 7+ years of software engineering experience spanning frontend and backend systems Deep proficiency in modern frontend frameworks (TypeScript, React) and modern CSS (e.g. Tailwind) Track record shipping data-intensive UIs with complex state, real-time updates, and large-scale data visualization Strong design and UX craft; ability to translate ambiguous requirements into polished, intuitive interfaces Production Go or Python service development Experience designing and consuming REST, gRPC, or GraphQL APIs Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes) History of high-impact projects through cross-functional partnership with product, design, and infrastructure teams Clear communicator who can navigate architectural tradeoffs and drive alignment across teams Preferred Qualifications Experience building ML platforms and familiarity with ML workflows (data preparation, training, evaluation, inference) and the developer experience challenges they present Experience building platform UIs that serve thousands of internal users with high reliability expectations

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