Hire senior AI voice agent developers for phone and realtime
Senior engineers who build realtime voice agents for phone and web: low-latency speech, telephony integration, interruptions and handoffs to people.
By the Ryz Labs team · Updated October 2026
Hiring AI voice agent developers through Ryz gets you senior Latin American engineers who build voice agents that answer and place calls, handle interruptions and hand off to people when they should. They are the top 1% of the engineers we interview, they join your team within an hour of US time zones, and our pod teams have shipped voice systems in production.
What our AI voice agent developers work on
Voice is the hardest place to deploy an LLM. Every delay is audible, callers interrupt, audio quality varies and the agent has to work inside your phone system. Our developers build with speech-to-speech models such as OpenAI's Realtime API, or with cascaded pipelines that chain speech recognition, an LLM and text-to-speech when more control is needed. Our pod teams have built an AI voice platform that has placed more than 1M outbound calls, and a driver-support agent that covers roughly 218,000 driver calls a year in three languages. Typical projects:
- Inbound phone agents that answer common questions, look up accounts and transfer to a human with context.
- Outbound calling for reminders, confirmations and follow-ups, with call outcomes written back to your CRM.
- Multilingual support lines that detect the caller's language and respond in it.
- Telephony integration over SIP trunks, Twilio, Telnyx or your contact center platform, including warm transfers.
- Web and in-app voice over WebRTC, built with frameworks such as LiveKit Agents or Pipecat.
- Call analytics: transcription, summarization and quality scoring of recorded calls.
Skills we vet for
- Latency engineering. Streaming at every stage, measuring time to first audio, and placing infrastructure close to the telephony provider.
- Turn-taking. Voice activity detection, end-of-turn detection, barge-in handling and not talking over the caller.
- Architecture choice. Speech-to-speech models versus cascaded speech recognition, LLM and text-to-speech, and the tradeoffs in control, cost and quality.
- Telephony. SIP, media streams, DTMF, call transfer, recording and the realities of 8 kHz phone audio.
- Tool use during calls. Calling APIs mid-conversation and filling silence gracefully while a lookup runs.
- Speech quality. Choosing voices, pronunciation of names and numbers, and multilingual handling.
- Compliance awareness. Call recording consent, disclosure that the caller is speaking with AI and outbound calling rules, built in with your legal team.
- Evaluation. Simulated callers, scripted test calls, word error rate and task completion per call.
How we vet AI voice agent developers
Recruiters source engineers who have built realtime audio or telephony systems, then our in-house ARC system ranks the pipeline. Candidates take structured NTRVSTA AI interviews on latency, turn-taking and telephony design. Recruiters review each candidate before and after and curate the shortlist. AI scores are advisory. People decide.
Sample interview topics
- Callers say the agent feels slow. Break down where the time goes from end of speech to first audio, and what you would cut first.
- The caller interrupts while the agent is reading a long policy. What happens in your audio pipeline and in the conversation state?
- Compare a speech-to-speech model with a cascaded pipeline for a bilingual insurance claims line.
- Design a warm transfer from the AI agent to a human, including what the human sees before picking up.
- How do you test a voice agent before launch without hundreds of people making test calls?
Ways to hire AI voice agent developers
| Option | Best for | Trade-offs |
|---|
| Freelance marketplace | A voice demo on a hosted builder | Demos sound good on clean audio. Telephony, latency and integration are where projects stall. |
| Staffing or recruiting agency | Sourcing AI or telephony engineers | Candidates rarely have both realtime audio and LLM experience, and screens do not check. |
| In-house recruiting | A permanent voice AI team | A rare combination of skills and a long search. |
| Ryz Labs staff augmentation | Adding voice skills to a contact center or product team | You set priorities and own the call flows. Best when telephony access is in place. |
| Ryz Labs AI pod team | Building a production voice agent end to end in your cloud | A dedicated pod with a tech lead, ML and backend engineers and weekly demos. Scoped up front. |
Ryz is not the right fit if you want to license a no-code voice bot product instead of engineers who build in your stack, or hourly gigs without a conversation. Teams that need European or Asian hours should look at global networks.
Why hire AI voice agent developers from Latin America
Voice agents are tuned by listening to calls. Engineers who keep your hours can review call recordings with your operations team each afternoon, adjust prompts and turn-taking settings and hear the difference on the next day's calls.
Many engineers in Latin America are fluent in Spanish or Portuguese as well as English, which helps when building and testing multilingual voice agents for US customers. Combined with deep backend and integration experience, that makes the region a strong source of voice engineering talent. See our case studies for production voice work.
Related roles
FAQ
Have you built voice agents that run in production?
Yes. Our pod teams built an AI voice platform that has made more than 1M outbound calls, and a driver-support agent covering roughly 218,000 calls a year in three languages, with about a 95% reduction in cost per call.
Can the agent work with our existing phone system?
Usually, yes. Our developers integrate over SIP or through providers such as Twilio and Telnyx, and with contact center platforms for transfers and recording.
What does it cost?
Custom quote, scoped per team. You get a plan, a price and the names of the people who would do the work before you sign.
How do the engineers work with our team?
Our engineers work on your team, reporting to your own leads. They work within an hour of US time zones. Talk to us to scope the team you need.
Questions we didn't answer? Email info@ryzlabs.com.