Voice AI Engineer
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Job Summary
Job Description:
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Design develop and deploy real-time conversational voice AI systems for
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production use.
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Build ultra-low-latency voice pipelines integrating ASR TTS LLM orchestration
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and backend execution.
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Develop Python-based services for audio streaming session orchestration voice
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workflow execution and backend integrations.
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Build production voice applications using LiveKit or Pipecat.
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Optimize systems for sub-500ms end-to-end conversational latency.
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Implement robust support for:
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multilingual speech interactions
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code-switched conversations
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short utterance detection
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interruptions / barge-in
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silence detection
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turn-taking optimization
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session memory / context handling
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Integrate APIs CRMs databases and internal systems for workflow execution.
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Monitor production systems debug latency/audio issues and continuously
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improve conversation quality.
