Key Responsibilities
Own end-to-end architecture: ASR → NLU/LLM → dialogue manager → TTS → telephony
Make build-vs-buy calls on ASR/TTS vendors (Deepgram, Azure Speech, ElevenLabs, or open-source Whisper/Coqui)
Own latency budget across the pipeline (target sub-1.5s round-trip for live calls)
Mentor Conversational AI and ML/Voice engineers; own technical hiring bar

Must-Have Technical Qualifications
Experience handling dialect variation and code-switching (e.g. Hinglish, Gulf Arabic variants) in production ASR/NLU
Successfully deployed and managed Voicebots in a production workplace.
Experience handling 5000+ live customer calls per day.
A prior experience in running more then 1 lakh/Month calls through AI Voice Agent.
Production experience with at least one ASR engine (Whisper, Deepgram, Google STT, Azure Speech) at scale




Hands-on experience with LLM-based dialogue systems (function calling, RAG, or fine-tuning)
Strong grasp of telephony integration: SIP, WebRTC, Twilio/Exotel/Ozonetel or similar
Experience optimizing for latency and cost simultaneously in a live voice pipeline
Comfortable working across Hindi/Hinglish and English accent handling for Indian/UAE markets
Track record of hitting production accuracy benchmarks: 95%+ transcription (WER-based) accuracy and 90%+ intent classification accuracy at scale — not just in a demo

Pay: ₹1,000,000.00 - ₹3,500,000.00 per year

Perks
Versatile schedule
Health insurance
Life insurance
Paid sick time
Paid time off
Provident Fund

Work Location: In person

📌 Voice Ai Architect Tech Lead Bengaluru (India)
🏢 Triotech Bizserve Private
📍 India