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