About the role

We are looking for a Lead Voice AI Engineer to build production-grade Voice Agents for frontline heavy verticals like healthcare, manufacturing, warehousing, retail, hospitality focusing on employee support, procurement, collections, logistics, ordering etc.

You will lead the design of low-latency, real-time voice systems combining ASR, TTS, LLMs, conversational AI, enterprise workflows, knowledge retrieval, compliance, and human handoff.

This is a hands-on technical leadership role for someone who can take Voice AI from architecture to production.

Responsibilities

• Design and build the real-time voice runtime for live conversations.
• Build and optimize streaming ASR, TTS, VAD, endpointing, turn-taking, and barge-in.
• Build adaptive voice pipelines for high-noise frontline environments (60-112 dB), hospitals, factory floors, warehouses, including server-side noise cancellation, echo suppression, and dynamic ASR/TTS optimization for PSTN and mobile phone audio quality.
• Architect multi-provider speech routing across a broad multilingual matrix, including code-switching (e.g., Spanglish, Hinglish), where no single ASR or TTS provider covers all languages, and language detection, provider selection, and fallback chains must operate in real time mid-call.
• Develop Voice Agents that support multi-turn, multi-intent conversations, context switching, clarification, and recovery.
• Integrate Voice Agents with workflows, APIs, CRM, ITSM, knowledge bases, and enterprise systems.
• Build secure identity verification, consent, privacy, audit, and compliance controls.
• Implement warm transfer, callback, queue routing, and seamless human handoff with full conversation context.
• Optimize multilingual voice quality across accents, noisy environments, latency, and naturalness.
• Build evaluation frameworks for WER, intent accuracy, response latency, containment, resolution, escalation, and CSAT.
• Establish production observability across the full call path: ASR → LLM → tools → TTS.
• Evaluate and integrate leading speech, telephony, and AI technologies.
• Define architecture, engineering standards, and production readiness for the Voice AI platform.
• Mentor engineers and lead critical technical design reviews.

M∂inimum qualifications

• 7+ years of software engineering experience.
• Strong experience building production distributed or real-time systems.
• Hands-on experience with Conversational AI, Voice AI, Speech AI, or LLM-based agents.
• Strong programming skills in Python, Java, Go, or equivalent.
• Experience with APIs, streaming systems, asynchronous architectures, and cloud-native platforms.
• Strong understanding of system design, scalability, reliability, and observability.

Preferred qualifications

• Hands-on experience with Deepgram for real-time ASR and streaming speech recognition.
• Hands-on experience with LiveKit for WebRTC, rea