Chai Waale - AI VoiceBots Developer

Description :

We are looking for a highly skilled Real-Time Voice AI Engineer with hands-on experience in building real-time voice bots, speech pipelines, and streaming AI systems using open-source technologies. This role involves working across the stackspeech recognition, voice generation, WebRTC streaming, ML deployment, and scalable Python microservices.

Key Responsibilities :

Real-Time Voice & Streaming Systems :

- Develop and maintain real-time voice bots using WebRTC, LiveKit, WebSockets, and telephony integrations.

- Build and optimize low-latency voice streaming pipelines for conversational AI applications.

- Ensure secure, robust, and scalable communication channels across all voice systems.

Speech & Generative AI Pipelines :

- Build ASR pipelines using Whisper, VAD, turn detection, and custom inference modules.

- Implement, fine-tune, and deploy Generative AI models using Ollama, vLLM, HuggingFace, etc.

- Optimize TTS streaming using open-source models such as Orpheus, Spark, Fish Audio, or similar.

Backend & ML Infrastructure :

- Develop Python-based inference microservices and MLOps pipelines for scalable deployment.

- Optimize models via quantization, caching, and GPU-aware serving.

- Ensure real-time performance with low-latency audio, fast inference, and efficient resource utilization.

Required Skills & Experience :

- 3+ years of relevant experience in real-time AI/voice streaming development (must be open-source focused).

- Strong proficiency in Python, including multiprocessing, async programming, and microservice architecture.

• ASR/TTS systems (Whisper, VAD, diarization, TTS models)
• WebRTC, LiveKit, WebSockets for real-time voice applications
• Generative AI, model fine-tuning, quantization, and HuggingFace ecosystem
• MLOps tools, scalable inference systems, and production deployment

- Strong understanding of low-latency system design, GPU optimization, and secure streaming