SoftwareDevelopmentEngineer,AWSQuickDesktop

We're building an AI-powered desktop application that fundamentally changes how knowledge workers manage their digital workload. Think of it as an intelligent companion that sits alongside you on your laptop — connected to your messages, calendar, and files — understanding your work context and helping you stay on top of everything without the cognitive overhead. As an SDE-2 on this team, you'll work at the intersection of AI/ML systems and desktop application development. You'll build the infrastructure that lets AI agents operate safely and reliably on a user's machine — from real-time event processing and multi-agent orchestration to local knowledge graphs that evolve as users interact with the system. The problems you'll solve aren't typical CRUD — they involve designing novel architectures for long-running agentic sessions, managing context windows across complex task hierarchies, and building trust through transparent, permission-scoped automation. This is a 0-to-1 product. You'll ship features end-to-end, influence architecture decisions, and see your work in the hands of users quickly. If you've ever wanted to build software that feels like it genuinely understands and helps people — not just another chatbot, but a proactive partner — this is that opportunity. Key job responsibilities * Design and implement core systems for the desktop application's agentic runtime — including task scheduling, agent lifecycle management, and inter-process communication between parallel AI agents * Build and evolve a local knowledge graph that captures relationships between people, projects, and topics from the user's work environment, enabling contextual and personalized assistance * Develop integrations with external services (email, messaging, calendar, file storage) using standardized protocols, with a focus on security, permissions, and graceful failure handling * Own the memory and context management layer — solving hard problems around what information to retain, how t