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Open nowPosted 5 hours ago

Senior Voice AI Engineer

Clera263 open roles

Where
remote
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Your applicationOpen nowSenior Voice AI EngineerClera · remote

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 3 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 5 hours ago

Clera median: 3 days open

The 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

- Build and own streaming speech-to-text, LLM turn-taking, text-to-speech, and telephony or WebRTC transport.

- Measure and reduce latency, targeting first audio under 800 milliseconds on real calls.

- Address interruptions, barge-in, silence detection, overlapping speech, poor audio, accents, and mid-sentence changes.

- Build an evaluation harness from recorded calls, transcripts, and scored turns to detect regressions and guide product decisions.

- Compare voice providers and models through evidence-based testing, and make changes based on results.

- Instrument production systems for turn latency, transcription confidence, drop-offs, and cost per minute.

- Work directly with founders and make technical decisions in a fast-moving team.

WHAT WE'RE LOOKING FOR

- At least 5 years building production software, including 2 or more years shipping voice, speech, or real-time audio systems.

- Experience building and shipping end-to-end real-time voice pipelines, including streaming speech recognition, LLM turn-taking, speech synthesis, and telephony or WebRTC.

- Strong Python or TypeScript skills and comfort working in both.

- Hands-on experience with an audio stack such as LiveKit, Pipecat, Vapi, Twilio Media Streams, Daily, or a custom WebSocket implementation.

- Experience debugging audio at the frame level, including sample rates, codecs, jitter, and voice activity detection thresholds.

- Experience building LLM evaluation harnesses, optimizing latency against real-world targets, and using evaluation results to make product decisions.

- 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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