Senior Voice AI Engineer
Clera · remote · posted Oct 2, 2026
Open to candidates worldwide
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What this role actually asks for
Extracted by RemoteHuntMust have
- •5+ years building production software
- •2+ years shipping voice/speech/audio systems
- •End-to-end real-time voice pipelines
- •Python or TypeScript
- •Audio stack experience
- •Debugging audio at frame level
Nice to have
- •Speech model serving or fine-tuning
- •LLM orchestration frameworks
Tools and technologies
Worth checking before you apply
- ⚠Visa sponsorship is not available
The full posting
About the Role
As a founding engineer on a small conversational AI team, you will own the real-time voice layer, from incoming speech through AI reasoning to spoken responses. You will help make natural, responsive voice interactions work reliably in production, with a focus on end-to-end latency.
What You'll Do
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Build and own streaming speech-to-text, LLM turn-taking, text-to-speech, and telephony or WebRTC transport.
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Measure and reduce latency, targeting first audio under 800 milliseconds on real calls.
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Address interruptions, barge-in, silence detection, overlapping speech, poor audio, accents, and mid-sentence changes.
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Build an evaluation harness from recorded calls, transcripts, and scored turns to detect regressions and guide product decisions.
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Compare voice providers and models through evidence-based testing, and make changes based on results.
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Instrument production systems for turn latency, transcription confidence, drop-offs, and cost per minute.
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Work directly with founders and make technical decisions in a fast-moving team.
What We're Looking For
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At least 5 years building production software, including 2 or more years shipping voice, speech, or real-time audio systems.
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Experience building and shipping end-to-end real-time voice pipelines, including streaming speech recognition, LLM turn-taking, speech synthesis, and telephony or WebRTC.
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Strong Python or TypeScript skills and comfort working in both.
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Hands-on experience with an audio stack such as LiveKit, Pipecat, Vapi, Twilio Media Streams, Daily, or a custom WebSocket implementation.
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Experience debugging audio at the frame level, including sample rates, codecs, jitter, and voice activity detection thresholds.
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Experience building LLM evaluation harnesses, optimizing latency against real-world targets, and using evaluation results to make product decisions.
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Clear written English for asynchronous communication. Experience with speech model serving or fine-tuning, SIP, telephony, or LLM orchestration frameworks is a plus.
Compensation & Benefits
Compensation is $96,000 USD annually, regardless of location. Visa sponsorship is not available.
Location
Fully remote, anywhere in the world. Core team overlap is 13:00 to 17:00 UTC.
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