Lead / Voice AI Architect

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 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 Hin