AI Phone - AI Systems / Agent Architect
Bjakcareer · United States
About this role
## AI Phone — AI Systems / Agent Architect ### About We are reimagining the phone. AI phones need to be proactive, intuitive, intelligent, and low cost—so the rest of the world can adopt intelligence. While there are over 5 billion people using everyday applications (email, messaging, notes, tasks, calendars), most are not AI-native. Our mission is to build proactive applications and devices that bring intelligence into daily conversations, coordination, and workflows with minimal prompting. **Focus Areas:** Agent runtime, context, memory, orchestration, and overall AI system architecture. ### Responsibilities - Define the overall AI architecture for the phone. - Design how AI agents interact with the OS and applications. - Define agent runtime and orchestration architecture. - Design context and memory systems to understand user activities, preferences, and ongoing tasks. - Define how agents execute multi-step workflows across different applications. - Design long-running task execution, state management, and recovery mechanisms. - Define model routing between on-device and cloud models. - Evaluate feasibility of running different AI capabilities locally vs. remotely. - Work with Android engineers to define interfaces required for system-level AI execution. - Establish reliability, observability, and evaluation standards. ### Requirements - Strong backend and distributed systems engineering experience. - Experience building production AI agent systems or complex orchestration systems. - Strong understanding of LLMs, tool calling, structured outputs, and agent execution. - Experience with stateful workflows and multi-step task execution. - Experience with context engineering, retrieval, and memory systems. - Strong system design and architecture skills. - Ability to work across backend, AI, and platform engineering. ### Nice to Have - Experience building AI assistants or agent platforms. - Experience with long-running autonomous workflows. - Experience with model routing and inference optimization. - Experience with on-device AI or hybrid local/cloud architectures. - Experience with permission-aware tool execution and agent security.
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