AI Phone - Agentic Engineer

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. Originally posted on Himalayas