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: Building the actual execution infrastructure for AI agents.
Responsibilities
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Implement agent runtime and orchestration components.
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Build tool-calling and execution interfaces.
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Support multi-step and long-running task execution.
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Manage task state, execution history and asynchronous workflows.
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Implement error handling, retries and recovery mechanisms.
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Integrate multiple model providers.
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Build observability and tracing for agent execution.
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Optimize latency, reliability and inference costs.
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Work with context and memory components to provide relevant information to agents.
Requirements
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Strong backend engineering experience.
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Experience with distributed systems and asynchronous workflows.
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Experience integrating LLMs into production applications.
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Strong API and service architecture knowledge.
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Experience with queues, state management and observability.
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Good understanding of tool calling and structured outputs.
Nice to have
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Production agent framework or custom agent runtime experience.
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Experience with Temporal or similar workflow orchestration systems.
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Experience with model routing and inference optimization.
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Experience with AI evaluation and tracing.
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