Clera
Senior Voice AI Engineer
Employer explicitly allows international or location-independent remote work.
Worldwide
Employer listed it 4 weeks ago · Added 3 weeks ago
Listed for 6 days before it closed.
This job has closed
Clera has taken this listing down, so it is no longer accepting applications. The details below are kept for reference only.
Browse open rolesSalary
$96k per year
Location
Worldwide
Work style
Async
Contract
Full-time
Experience
Senior
Category
Software
Stated by the employer in the job description
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
Clear written English for asynchronous communication.
- Where you can work from
Fully remote, anywhere in the world.
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
Compensation & Benefits
Remote flexibility
Work from anywhere
The employer explicitly allows candidates to work from anywhere in the world, with no stated country restriction.
What the employer says
- Source listing states candidate location: "remote"
- Job description states: "anywhere in the world"
What Nomaders makes of it
- Check timezone expectations before applying
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a requirement
- “At least 5 years building production software, including 2 or more years shipping voice, speech, or real-time audio systems.”
Written as a nice-to-have
- “Experience with speech model serving or fine-tuning, SIP, telephony, or LLM orchestration frameworks is a plus.”
Questions worth asking: Nomaders interpretation
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
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.
Requirements
- ·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
Benefits
- ·Compensation is $96,000 USD annually, regardless of location. Visa sponsorship is not available.
- ·Fully remote, anywhere in the world. Core team overlap is 13:00 to 17:00 UTC.
Applying
This listing has closed, so there is no application link. The details above are kept for reference only.
Found 25d ago. Last checked 11 Oct. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
This role is closed, applications are no longer accepted.