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Build and operate production AI backend systems, including inference pipelines, orchestration layers, and reliable APIs. Optimize latency, throughput, caching, batching, and streaming while monitoring distributed services and responding to incidents. The role requires strong backend fundamentals, experience with high-throughput services, familiarity with LLM and multimodal inference, and the ability to debug systems under load.

Build and own complex web experiences across Chat, Notes, Calendar, Docs, and Sheets. Develop real-time messaging, collaborative editing, rich-text editing, scheduling, tables, and spreadsheet interfaces. Create reusable frontend architecture, integrate streaming AI capabilities, and ensure performance, accessibility, responsiveness, and reliability. Collaborate with product, design, backend, and AI engineering teams while independently taking features from technical design through production.

Build core web experiences across Chat, Notes, Calendar, Docs, and Sheets. Own frontend architecture and complex interactive features including real-time messaging, collaborative editing, rich text, scheduling, tables, and spreadsheets. Integrate streaming AI experiences, optimize performance and accessibility, and collaborate with product, design, backend, and AI engineers to deliver reliable, reusable applications.

Build and operate production AI backend systems, including inference pipelines, orchestration layers, and reliable APIs. Responsibilities include monitoring, logging, alerting, incident response, and optimizing latency, throughput, caching, batching, and streaming. The role requires debugging distributed systems under load and integrating AI services with frontend and machine learning systems using Python, Node.js, PyTorch, LLMs, databases, Kubernetes, and Docker.

Build core web experiences across Chat, Notes, Calendar, Docs, and Sheets. Own frontend architecture, complex interactive features, real-time collaboration, rich-text editing, streaming AI integrations, performance, accessibility, and reliability. Partner with product, design, backend, and AI engineering teams to take features from concept through production.

Build and operate production AI backend systems, including inference pipelines, orchestration layers, and reliable APIs. Optimize latency, throughput, caching, batching, and streaming while maintaining monitoring, logging, alerting, and incident response. Collaborate with frontend and machine learning systems to deliver stable AI-powered features at scale and continuously improve performance based on production usage.

Build core web experiences across Chat, Notes, Calendar, Docs, and Sheets. Own frontend architecture and complex interactive features including real-time messaging, collaborative editing, rich text, scheduling, tables, and spreadsheets. Integrate streaming AI and proactive actions into workflows while ensuring performance, reliability, responsiveness, accessibility, and cross-browser compatibility. Collaborate with product, design, backend, and AI engineers to take features from concept through production.

Build core web experiences across Chat, Notes, Calendar, Docs, and Sheets. Develop interactive features such as real-time messaging, collaborative editing, rich-text editing, scheduling, tables, and spreadsheets. Create reusable frontend architecture, integrate streaming AI capabilities, and ensure performance, reliability, responsiveness, and accessibility. Collaborate with product, design, backend, and AI engineering teams while independently owning features from technical design through production.

Build and own interactive web experiences across Chat, Notes, Calendar, Docs, and Sheets. Develop reusable frontend architecture, real-time collaboration, rich-text editing, scheduling, tables, spreadsheets, and streaming AI integrations. Partner with product, design, backend, and AI engineering teams to deliver reliable, accessible, high-performance experiences across browsers and devices.

Build and operate production AI backend systems powering inference and orchestration. Responsibilities include designing reliable low-latency services, optimizing inference, caching, batching and streaming, supporting monitoring and incident response, and debugging distributed systems under load. The role requires backend engineering fundamentals, familiarity with LLMs, embeddings and multimodal AI, and the ability to deliver stable APIs integrated with frontend and machine learning systems.