Voice AI Backend Engineer – Real-Time Conversational Systems

Winzons; India; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Awign Enterprises is seeking a Voice AI Backend Engineer to design and build real-time conversational voice systems, including AI voice bots, IVR integrations, and telephony-driven automation platforms. This role emphasizes low-latency pipelines and scalable backend services for production-grade voice AI products.

The ideal candidate has hands-on experience with Python, real-time audio streaming, voice model providers, and telephony architectures, and can collaborate with product and frontend

Qualifications

• Strong backend development experience in Python.
• Hands-on experience with voice bots / conversational AI systems.
• Experience building GenAI solutions in production (LLMs, RAG, orchestration).
• Experience with real-time audio streaming (WebSockets, streaming pipelines).

Responsibilities

• Design and build real-time Voice AI backend systems for conversational voice bots and IVR platforms.
• Develop end-to-end voice pipelines including: Speech-to-Text (STT), LLM orchestration, Text-to-Speech (TTS), streaming audio.
• Integrate with telephony and IVR providers for inbound and outbound voice automation.
• Implement WebSocket-based real-time audio streaming pipelines for low-latency voice interaction.
• Work with WebRTC or media streaming architectures for real-time communication.
• Collaborate with product teams to build production-ready voice AI applications.

Skills

Python backend

Voice AI systems

Real-time streaming

WebSockets

LLMs orchestration

Telephony / IVR

Async programming

Distributed systems

Education

Bachelor’s Degree in Computer Science or related field

Tools

AWS Bedrock

WebRTC

LiveKit

Job description

Company Name: Awign Enterprises

Job Role: Voice AI Backend Engineer

Work Type: Full-Time

Experience: 3-5 Years

Qualification: Bachelor’s Degree in Computer Science or related field preferred

Location: Bengaluru

We are looking for a Voice AI Backend Engineer to design and build real-time conversational voice systems, including AI voice bots, IVR integrations, and telephony-driven automation platforms. This role focuses on developing low-latency voice AI pipelines, integrating telephony providers, and building scalable backend services for production-grade voice AI products. The ideal candidate should have hands‑on experience with Python, real-time audio streaming, voice model providers, and telephony architectures.

Key Responsibilities :

• Design and build real-time Voice AI backend systems for conversational voice bots and IVR platforms
• Develop end-to-end voice pipelines including:
  • Speech-to-Text (STT)
  • LLM orchestration
  • Text-to-Speech (TTS)
  • Streaming audio response
• Integrate with telephony and IVR providers for inbound and outbound voice automation
• Implement WebSocket-based real-time audio streaming pipelines for low-latency voice interaction
• Work with WebRTC or media streaming architectures for real-time communication
• Integrate with voice model providers for:
  • Speech recognition
  • Streaming transcription
  • Neural text-to-speech
  • Voice-to-voice models
• Build scalable backend services to handle high concurrent voice calls
• Optimize systems for:
  • Low latency
  • Streaming performance
  • Audio buffering
  • Real-time responsiveness
• Collaborate with product teams to build production-ready voice AI applications
• Design event-driven architectures for voice interaction pipelines
• Work closely with frontend, AI, and telephony teams to deliver end-to-end voice products.

Must-Have Criteria :

Core Requirements :

• Strong backend development experience in Python
• Hands‑on experience with voice bots / conversational AI systems
• Experience building GenAI solutions in production (LLMs, RAG, orchestration)
• Solid understanding of real-time audio streaming (WebSockets, streaming pipelines)
• Knowledge of voice AI architecture (STT ,LLM , TTS, turn management)
• Experience with telephony / IVR systems and call flows

Strong fundamentals in :

• Distributed systems & microservices
• Event-driven and API-driven architectures
• Async programming & concurrency (Python)
• Experience integrating voice/LLM model providers
• Ability to debug latency and real-time streaming issues

Good to Have :

• Experience with AWS (Bedrock, voice AI infra)
• Familiarity with WebRTC / LiveKit / real-time streaming frameworks
• Exposure to GPU/accelerator-based inference
• Experience in call center / voice agent systems
• Knowledge of VAD, interruption handling, multilingual voice systems
• Experience handling high-concurrency voice applications

Note : Only immediate joiners preferred or max 15 days