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  • London

  • About

    We are reimagining the phone. AI phones need to be proactive, intuitive, intelligent and low cost. This is a mission critical for rest of the world to adopt intelligence.

    There are over 5 billion people using everyday applications such as email, messaging, notes, tasks, and calendars, yet 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: 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 that allow AI 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 the feasibility of running different AI capabilities locally versus remotely.

    • Work with Android engineers to define the 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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