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.

• Implement agent runtime and orchestration components.

• Build tool-calling and execution interfaces.

• Support multi-step and long-running task execution.

• Manage task state, execution history and asynchronous workflows.

• Implement error handling, retries and recovery mechanisms.

• Integrate multiple model providers.

• Build observability and tracing for agent execution.

• Optimize latency, reliability and inference costs.

• Work with context and memory components to provide relevant information to agents.

• Strong backend engineering experience.

• Experience with distributed systems and asynchronous workflows.

• Experience integrating LLMs into production applications.

• Strong API and service architecture knowledge.

• Experience with queues, state management and observability.

• Good understanding of tool calling and structured outputs.

• Production agent framework or custom agent runtime experience.

• Experience with Temporal or similar workflow orchestration systems.

• Experience with model routing and inference optimization.

• Experience with AI evaluation and tracing.

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