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Design a Real-Time AI Voice System

Last updated: Apr 16, 2026

Quick Overview

This question evaluates system-level engineering skills for real-time conversational AI, covering audio ingestion, speech recognition, dialogue orchestration, response generation, speech synthesis, session state, interruption handling, safety, observability, latency, and cost, and is categorized under ML system design and speech systems.

  • medium
  • Decagon
  • ML System Design
  • Software Engineer

Design a Real-Time AI Voice System

Company: Decagon

Role: Software Engineer

Category: ML System Design

Difficulty: medium

Interview Round: Technical Screen

Design a real-time AI voice system, such as a phone or web-based voice agent that can listen to a user, understand the conversation, generate a response, and speak back naturally. Discuss the end-to-end architecture from audio ingestion through speech recognition, dialogue orchestration, response generation, speech synthesis, session state, interruption handling, safety, observability, latency, and cost. Focus on the engineering design rather than only the model choice.

Quick Answer: This question evaluates system-level engineering skills for real-time conversational AI, covering audio ingestion, speech recognition, dialogue orchestration, response generation, speech synthesis, session state, interruption handling, safety, observability, latency, and cost, and is categorized under ML system design and speech systems.

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Feb 17, 2026, 12:00 AM
Software Engineer
Technical Screen
ML System Design
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Design a real-time AI voice system, such as a phone or web-based voice agent that can listen to a user, understand the conversation, generate a response, and speak back naturally.

Discuss the end-to-end architecture from audio ingestion through speech recognition, dialogue orchestration, response generation, speech synthesis, session state, interruption handling, safety, observability, latency, and cost. Focus on the engineering design rather than only the model choice.

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