About the role
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 agent capabilities, context, memory and orchestration.
Responsibilities
* Implement agent workflows and orchestration.
* Build integrations with different tools and applications.
* Develop context retrieval and memory mechanisms.
* Implement multi-step task execution.
* Support long-running workflows and state management.
* Improve agent reliability and execution accuracy.
* Integrate local and cloud model providers.
* Build evaluation and regression tests for agent workflows.
Requirements
* Strong backend or AI application engineering experience.
* Python, Go or TypeScript.
* Experience with LLM APIs and tool calling.
* Experience building AI applications or agent workflows.
* Strong API and distributed systems knowledge.
* Good understanding of state management and asynchronous execution.
Nice to have
* Production agent infrastructure.
* RAG, memory and context engineering.
* Model routing and inference optimization.
* Experience with mobile or operating-system integrations.
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