/ TEAMS · Specialist engineering · Realtime AI Voice
Source engineers experienced in Streaming speech recognition, WebRTC audio, natural turn-taking and live interview workflows. for business-critical production systems, safe integrations and measurable technical ownership.
2,000+ engineers in our active talent network · Regional recruiters
/ SYSTEM STACK
WebRTC audio transport
streaming ASR
live TTS
turn detection
media synchronization
/ AVAILABLE TO HIRE
Profiles show the experience we can source. Individual candidate availability is confirmed after enquiry.
Senior Realtime AI Voice Engineer
Available9+ years of experience · Czechia
Realtime AI Voice Engineer with 9 years in production systems, focused on WebRTC audio transport and streaming ASR.
Languages: Czech, English B2+
Senior Realtime AI Voice Engineer
Inquire availability12+ years of experience · Serbia
Realtime AI Voice Engineer with 12 years in production systems, focused on streaming ASR and live TTS.
Languages: Serbian, English B2+
Mid-level Realtime AI Voice Engineer
Inquire availability3+ years of experience · Romania
Realtime AI Voice Engineer with 3 years in production systems, focused on live TTS and turn detection.
Languages: Romanian, English C1
Mid+ Realtime AI Voice Engineer
Available6+ years of experience · Romania
Realtime AI Voice Engineer with 6 years in production systems, focused on turn detection and media synchronization.
Languages: Romanian, English B2+
/ Engineering teams
Onectus uses its active engineering network and regional recruiting partners to search against concrete systems, environments and responsibilities. We evaluate practical experience rather than treating a framework mention or certification as proof of delivery. Particular availability and engagement terms are confirmed after an enquiry. For this role, practical knowledge of WebRTC audio transport, streaming ASR, live TTS helps define the engineering search.
/ Technical specializations
The right profile depends on your actual architecture, performance constraints, integration boundaries and operational responsibilities.
Realtime AI Voice responsibilities include webrtc audio transport, related streaming asr, clear test coverage and a reliable production handover. Examine the actual tooling and deployment environment.
Realtime AI Voice responsibilities include streaming asr, related live tts, clear test coverage and a reliable production handover. Examine the actual tooling and deployment environment.
Realtime AI Voice responsibilities include live tts, related turn detection, clear test coverage and a reliable production handover. Examine the actual tooling and deployment environment.
Realtime AI Voice responsibilities include turn detection, related media synchronization, clear test coverage and a reliable production handover. Examine the actual tooling and deployment environment.
Realtime AI Voice responsibilities include media synchronization, related browser microphone policies, clear test coverage and a reliable production handover. Examine the actual tooling and deployment environment.
Realtime AI Voice responsibilities include browser microphone policies, related webrtc audio transport, clear test coverage and a reliable production handover. Examine the actual tooling and deployment environment.
/ Project scenarios
Reduce conversation turn-taking delays. Define constraints around webrtc audio transport, map dependencies and test how the proposed implementation behaves under real operating conditions.
Diagnose interrupted audio streams. Define constraints around streaming asr, map dependencies and test how the proposed implementation behaves under real operating conditions.
Coordinate speech and captions. Define constraints around live tts, map dependencies and test how the proposed implementation behaves under real operating conditions.
Stabilize voice sessions across browsers. Define constraints around turn detection, map dependencies and test how the proposed implementation behaves under real operating conditions.
/ Practical evaluation
A senior engineering interview should surface directly relevant implementation details, debugging history and operational judgment.
Describe a production issue involving WebRTC audio transport and what evidence led to a fix.
Which decisions around streaming ASR and live TTS were you personally accountable for?
Describe a production issue involving live TTS and what evidence led to a fix.
Which decisions around turn detection and media synchronization were you personally accountable for?
/ Sourcing process
Define platform versions, deployment constraints, traffic patterns, required integrations and ownership.
Search the active network and partner channels for platform-specific engineering experience.
Discuss real systems, code or configuration decisions, troubleshooting and change control.
Confirm role boundaries, location or remote access, availability, security and interviews.
Profiles, availability and engagement terms are confirmed for each request.
/ Questions
Yes. Tell us the relevant versions, operational environment and the responsibilities connected to WebRTC audio transport. We qualify hands-on experience during each search.
These can be included when central to the project. We distinguish practical implementation work from general familiarity and ask about failure scenarios and testing.
We look at production decisions, trade-offs, incident diagnosis, code or infrastructure ownership and the ability to explain decisions without relying on a technology checklist.
Share your architecture, technical constraints, collaboration model and priorities. We can then discuss relevant sourcing channels, evaluation criteria and next steps.
/ Onectus · TEAMS
Tell us the technology, production responsibilities, experience level and working model. We'll activate the appropriate engineering sourcing channels.
