Lead Voice AI Engineer

Overview

Lead Voice AI Engineer to build production-grade Voice Agents for frontline-heavy industries, focusing on employee support and enterprise workflows.

What you'll do

• Design and build the real-time voice runtime for live conversations.
• Build and optimize streaming ASR/TTS pipeline components, including VAD, endpointing, turn-taking, and barge-in.
• Develop adaptive voice pipelines for high-noise environments with noise cancellation and dynamic ASR/TTS optimization.
• Architect multi-provider speech routing for multilingual, real-time mid-call code-switching with fallback chains.
• Integrate voice agents with workflows, APIs, CRM, ITSM, knowledge bases, and enterprise systems.
• Implement secure identity verification, consent, privacy, audit, and compliance controls.
• Set up production observability across ASR → LLM → tools → TTS and define engineering standards for readiness.

What you'll need

• 7+ years of software engineering experience.
• Experience building production distributed or real-time systems.
• Hands-on experience with Conversational AI, Voice AI, Speech AI, or LLM-based agents.
• 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.

Details

• Location: Bengaluru, India; also mentions Hybrid - Gurugram, India.
• Work mode indicated as Hybrid.