NeuroDrift is a US-based AI voice and enterprise software company. We build real-time voice AI agents that run live on real phone lines, at scale, for enterprise customers. Our platform (CallDash) carries production call traffic every day, so latency, telephony quirks and audio edge cases are our daily reality, not a research problem.

We're looking for a real-time voice engineer who has shipped voice into production and, more importantly, kept it working when it broke under load.

What makes this role different

Most "voice AI" work is gluing an API to a websocket. This isn't that. We run a self-hosted media stack: our own SFU, our own SIP gateway, and stateful agent workers on Kubernetes. When a call fails, the cause could be in the carrier trunk, the SFU, the agent process, the speech vendor, or the LLM behind a gateway, and those are five separate services with five separate logs. The job is as much diagnosis as construction.

What you'll do

•⁠ ⁠Build and operate real-time voice agents end to end: telephony, audio pipeline, STT/TTS, LLM integration, tool calling
•⁠ ⁠Own latency.



Chase every millisecond from end-of-utterance to first audio, and know which component owns each one
•⁠ ⁠Integrate and harden SIP trunks against real carriers and contact-centre platforms, including transfers, header passthrough and call correlation
•⁠ ⁠Run stateful audio workers in production: capacity, autoscaling, graceful drain, and what happens to a live call during a deploy
•⁠ ⁠Build the observability that makes a bad call explainable after the fact, not just reproducible
•⁠ ⁠Tune turn-taking. Endpointing, VAD, barge-in and interruption behaviour are where calls feel human or don't
•⁠ ⁠Join client calls, present your approach, and defend your technical decisions

What we need

•⁠ ⁠3+ years Python, including async (asyncio, FastAPI or similar)
•⁠ ⁠Real-time audio in production: WebRTC, SIP, RTP
•⁠ ⁠At least one SIP trunk integration you shipped and then debugged under load
•⁠ ⁠Prod

📌 Voice AI Engineer (India)
🏢 Neurodrift
📍 India