Remote Voice Software Engineer – Real-Time AI

indigo.ai

Milano

Remoto

EUR 40.000 - 70.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Remote-friendly
Education budget
Meal vouchers
Top-grade equipment
Company retreats
Flexible work environment

Descrizione del lavoro

indigo.ai, a leading European AI scale-up, is seeking a Software Engineer, Voice to own the real-time voice stack for their AI agents. You’ll work on end-to-end voice pipelines—from telephony ingress to streaming STT/TTS—shaping how customers interact with AI on phone lines.

Ideal candidates have hands-on experience with live voice systems, latency budgets, and end-to-end production services using TypeScript/Node.js or Python, plus fluent English.

Competenze

  • Real-time voice or audio system design and shipping experience.
  • Experience with live telephony, streaming STT/TTS, and latency budgets.
  • Strong TypeScript/Node.js and/or Python for end-to-end services.
  • Experience with audio codecs and low-latency pipelines.
  • Fluent English communication.

Mansioni

  • Own the real-time voice pipeline end-to-end from ingress to TTS.
  • Engineer fast, human-like turn-taking and latency budgets.
  • Improve voice quality on the phone with STT/TTS evaluation.
  • Build and maintain production services with observability.
  • Evaluate and integrate STT/TTS providers and open-source tools.

Conoscenze

Real-time audio systems
Latency optimization
Voice UX
Production-grade software engineering
Fluent English

Strumenti

WebSockets/WebRTC/SIP
Opus codec
G.711/μ-law
Pipecat
LiveKit Agents
CI/CD
Observability tooling

Descrizione del lavoro

indigo.ai, a leading European AI scale-up, is seeking a Software Engineer, Voice to own the real-time voice stack for their AI agents. You’ll work on end-to-end voice pipelines—from telephony ingress to streaming STT/TTS—shaping how customers interact with AI on phone lines.

Ideal candidates have hands-on experience with live voice systems, latency budgets, and end-to-end production services using TypeScript/Node.js or Python, plus fluent English.

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