Senior Voice AI Engineer - Remote, Real-Time Audio Stack

Engg

United States

Remote

USD 86,000 - 106,000

Full time

47 hours ago
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Benefits offered by this job

Fully remote

Job summary

Engg is seeking a founding engineer to own the real-time voice layer from speech input to spoken output on a fully remote, globally distributed team.

You will build streaming speech-to-text, TTS, and the transport stack, while targeting latency under 800 ms on real calls. This role requires hands-on work across live audio, latency optimization, and evaluation harnesses to guide product decisions.

Qualifications

  • 5+ years building production software, with 2+ years in voice/real-time audio.
  • Experience shipping end-to-end real-time voice pipelines.
  • Strong Python or TypeScript; comfortable in both.
  • Clear written English for asynchronous communication.

Responsibilities

  • Own streaming speech-to-text, LLM turn-taking, text-to-speech, and transport (telephony/WebRTC).
  • Measure and reduce latency, aiming for first audio under 800 ms on real calls.
  • Address interruptions, barge-in, silence detection, overlapping speech, accents, and mid-sentence changes.
  • Build an evaluation harness from calls, transcripts, and scored turns to detect regressions.
  • Compare voice providers and models via evidence-based testing and act on results.
  • Instrument production systems for turn latency, transcription confidence, drop-offs, and cost per minute.
  • Collaborate directly with founders and influence technical decisions in a fast-moving team.

Skills

Python
TypeScript

Tools

LiveKit
Pipecat
Vapi
Twilio Media Streams
Daily
WebSocket

Job description

Engg is seeking a founding engineer to own the real-time voice layer from speech input to spoken output on a fully remote, globally distributed team.

You will build streaming speech-to-text, TTS, and the transport stack, while targeting latency under 800 ms on real calls. This role requires hands-on work across live audio, latency optimization, and evaluation harnesses to guide product decisions.

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