AI Phone - Agentic Engineer
Required skills
- backend engineering
- AI application engineering
- Python
- Go
- TypeScript
- LLM APIs
- tool calling
- AI applications
- agent workflows
- API
Nice to have
- production agent infrastructure
- RAG
- memory engineering
- context engineering
- model routing
- inference optimization
Role summary
We are seeking an Agentic Engineer to reimagine the phone by building proactive, intuitive, and intelligent AI-native applications. This role focuses on developing agent capabilities, context, memory, and orchestration to bring intelligence into daily conversations and workflows. Responsibilities include implementing agent workflows, building integrations, developing context retrieval and memory mechanisms, supporting long-running tasks, improving reliability, and integrating model providers. The ideal candidate has strong backend or AI application engineering experience with Python, Go, or TypeScript, and expertise in LLM APIs, tool calling, distributed systems, and state management.
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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