AI Voice Agent Engineer (Python + Real-Time Systems)

We are building next-generation AI Voice Agents for recruiters .

You’ll design and implement real-time, low-latency conversational systems that combine LLMs, STT, TTS, RAG , and streaming pipelines.

The backend runs in Python , with a React/Node.js frontend.

If you have built real-time voice systems that can handle human interruptions and dynamic context, this role fits you.
Key Responsibilities
Build and optimize real-time AI Voice Agents in Python.
Integrate TTS (e.g., ElevenLabs) and STT (e.g., Deepgram) systems for natural, fast voice interaction.
Implement LLM integration with focus on latency reduction and interruption handling .
Develop caching layers for prompts and audio streams to reduce cost and delay.
Design and maintain SIP, WebRTC, and WebSocket pipelines for call handling.
Handle automatic answering machine detection (AMD) and dynamic call routing.
Work with React/Node.js frontend teams for end-to-end real-time communication.
Required Skills
Python : Strong backend development experience.
Real-Time AI Voice Systems : Proven working experience is mandatory .
LLM Integration : Deep understanding of latency, interruption handling, and RAG pipelines.
Networking Protocols : Hands-on experience with SIP, WebRTC, and WebSockets .
Frontend Collaboration : Working knowledge of React and Node.js .
Preferred Skills
Experience with ElevenLabs , Deepgram , or other leading TTS/STT APIs.
Knowledge of audio stream caching , buffering, and GPU optimization.
Familiarity with FreeSWITCH , Asterisk , or similar VoIP platforms.
Background in automatic machine detection and call classification.
Why Join Us
You’ll work on cutting-edge voice-first AI infrastructure used by staffing companies worldwide.

Early-stage team, fast decisions, deep tech stack, and clear impact.
Salary is in INR