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) handles 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 solid real-time voice engineer with broad expertise across the stack — someone who has shipped voice into production and debugged it when it broke under load.

What you'll do
Build and operate real-time voice agents end to end — telephony, audio pipeline, LLM integration, tool calling
Own latency: chase every millisecond from end-of-utterance to time-to-first-audio
Integrate and harden SIP-trunk connections on real call platforms
Deploy and scale stateful audio workers in production
Take part in client meetings — present your approach and defend your technical decisions

What we need (3–4 years experience)
3+ years Python, including async (asyncio, FastAPI or similar)
Real-time audio in production — WebRTC, SIP, RTP




Production telephony integration — you've shipped at least one SIP-trunk integration on a real call platform and debugged it under load
LLM voice integration in production — Gemini Live, OpenAI Realtime, ElevenLabs Conversational, Retell, or comparable
Function / tool calling in voice contexts — you understand how tool-call scheduling affects perceived latency and barge-in behavior
Kubernetes — deploying stateful audio workers with autoscaling
A latency mindset — you instinctively reach for end-of-utterance, time-to-first-token, and time-to-first-audio metrics before the user complains

The setup
Fully remote
High-intensity role: 50–60 hours/week — this is startup pace, not a 9-to-5
Working hours primarily IST, with availability for client meetings in US time zones
You'll thrive here if you like owning hard problems end to end, you're comfortable in front of clients, and "it works on my machine" isn'

📌 Voice AI Engineer (India)
🏢 Neurodrift
📍 India