• Build and maintain iOS applications using Swift and SwiftUI. • Integrate AI-powered features through backend APIs. • Design UX patterns for AI interactions, including loading states, streaming responses, retries, and fallbacks. • Optimize performance, memory usage, and battery efficiency. • Capture user signals and feedback to support AI evaluation and iteration. • Collaborate closely with backend and ML engineers on API design and system behavior. • Maintain high App Store quality, stability, and production reliability.

• Own the application engineering strategy and execution across backend, mobile, and desktop. • Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers. • Ensure production-grade reliability: observability, monitoring, retries, fallbacks, and failure handling. • Set the architectural direction for AI-powered product workflows, APIs, and client integrations. • Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes. • Partner closely with Machine Learning leadership to translate model capability into shippable product features. • Make high-impact decisions across latency, cost, reliability, security, and user experience. • Establish a strong execution culture through code reviews, design reviews, and hands-on technical leadership. • Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls. • Balance speed and discipline – shipping quickly without compromising long-term system quality.

• Build end-to-end product features across frontend, backend, and AI integrations • Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps. • Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions • Design real-time AI interactions with streaming, partial results, and tight latency constraints • Improve system reliability, observability, and fallback mechanisms • Collaborate closely with ML, backend, and product teams to ship features end-to-end • Continuously iterate based on real usage and failure modes

• Own how the system behaves on desktop environments • Focus on reliability, performance, and real-time behavior in production desktop applications • Build and maintain cross-platform desktop applications using Electron • Design responsive and scalable UIs for real-time collaboration • Implement desktop-specific functionality including file system access, native notifications, auto-updates, and deep linking • Integrate AI-powered features (chat, agents, AI assistance) via backend APIs • Optimize startup time, memory usage, and runtime performance • Profile and reduce Electron overhead • Manage large local state and message history efficiently • Ensure smooth real-time updates (messages, typing indicators, presence) • Maintain stability across macOS and Windows environments