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.