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

Benefits:

- 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 environment.

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