Chai Waale - AI VoiceBots DeveloperChai Waale • Delhi, IN
Chai Waale - AI VoiceBots Developer
Chai Waale • Delhi, IN
15 hours ago
Job descriptionBuild 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. 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. 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. Hands-on experience with : 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 Experience with telephony integration (SIP, PSTN, Twilio, Asterisk, etc.) is a strong advantage. Strong understanding of low-latency system design, GPU optimization, and secure streaming
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 :
Backend & ML Infrastructure :
Required Skills & Experience :
(ref : hirist.tech)
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