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.
Read the full description and apply on the company’s own careers page.
