This is a remote position.
Shuru is an AI-native engineering services company building products with leading startups, enterprises, and well-funded scale-ups across India, Southeast Asia, the UAE, and global markets. Our engineers work in small, dedicated squads, ship in weekly cycles, and use AI-assisted development tools (Cursor, Claude Code, GitHub Copilot) as a standard part of how we build. We hire for fundamentals, give engineers real ownership, and back them with a culture that respects deep work.

We are looking for a Voice AI Engineer to design, build, and deploy intelligent real-time voice applications. You will work on conversational AI systems that combine Speech-to-Text (STT), Large Language Models (LLMs), Text-to-Speech (TTS), telephony, and real-time audio streaming to deliver natural and responsive voice experiences.

The ideal candidate has solid software engineering fundamentals, experience with AI/LLM applications, and an understanding of low-latency voice systems.
Design and develop production-ready AI voice agents and conversational voice applications.




Integrate STT, LLM, and TTS technologies into real-time voice pipelines.
Build integrations with telephony and communication platforms such as Twilio, SIP, WebRTC, and LiveKit.
Develop backend services, APIs, WebSocket connections, and event-driven systems.
Implement RAG, function calling, tool use, memory, and multi-step AI agent workflows.
Optimize voice applications for latency, interruption handling, turn-taking, accuracy, and conversational quality.
Integrate voice agents with CRMs, databases, calendars, customer-support systems, and third-party APIs.
Develop monitoring, logging, analytics, and evaluation frameworks for voice conversations.
Test and improve transcription accuracy, response quality, TTS naturalness, and overall user experience.
Deploy and maintain scalable AI services in cloud environments.
Collaborate with product, engineering, and business teams to translate requirements in

📌 AI Engineer (India)
🏢 Shuru
📍 India