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

Experience Required
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
Experience handling dialect variation and code-switching (e.g. Hinglish, Gulf Arabic variants) in production ASR/NLU

Pay: ₹3,000,000.00 - ₹5,000,000.00 per year

Perks:
Commuter assistance
Flexible schedule
Health insurance
Leave encashment
Life insurance
Paid sick time
Paid time off
Provident Fund

Application Question(s):
Have you successfully deployed and managed Voicebots in a production workplace.

Experience:
Voice Ai: 3 years (Required)
ASR, TTS, Voice Bot: 3 years (Required)
Industry: 7 years (Required)

Work Location: In person

📌 Voice Ai Architect Bengaluru
🏢 triotech
📍 Bengaluru