AI Phone - Agentic Engineer

Overview

Build the agent capabilities, context, memory and orchestration behind an AI-native phone and proactive applications.

What you'll do

• 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.

What you'll need

• 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.