Hire voice AI engineers
Voice is the hardest surface to fake competence in, because latency is audible. A voice agent that thinks for two seconds feels broken no matter how good the answer is, so this discipline is half language modelling and half realtime systems engineering.
Free to search, every filter open · opens filtered to Voice AI.
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How to tell a real one from a résumé that says the words
- Quotes a latency budget in milliseconds, broken down by stage.
- Has handled interruption and turn-taking — the part that makes a voice agent feel human or hostile.
- Has been through telephony if you need phone calls. SIP is its own world of pain.
- Tests on bad audio: noise, accents, cheap microphones, patchy networks.
How to hire voice AI engineers with this database
- Search the voice tooling directly — Whisper, Deepgram, ElevenLabs, LiveKit, Vapi — since job titles rarely say voice.
- Prioritise realtime systems experience over AI experience if you have to choose. The AI half is easier to learn.
- Do the interview by voice, on their system if they have one running.
Every filter is free and each search shows the top 10 matches with the true total. The full ranked list is a single one-time payment — see pricing.
Questions about hiring voice AI engineers
What does a voice AI engineer do?
They build spoken interfaces: streaming speech recognition, response generation, speech synthesis, turn-taking and barge-in, all inside a latency budget, usually over telephony or WebRTC.
What latency should a voice agent hit?
Under roughly 800ms end to end feels conversational; past about 1.5 seconds people start talking over it. Any candidate who has shipped one will give you their own numbers unprompted.
Is voice AI a separate hire from an LLM engineer?
Often yes, at least for the first hire. The realtime, audio and telephony skills are distinct enough that a strong LLM engineer will still need months to become dangerous in this domain.
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Everyone in here is scored 0–100 on what they have demonstrably shipped, with the reason behind every number.
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