AI Engineer - Voicebot

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 stack—speech recognition, voice generation, WebRTC streaming, ML deployment, and scalable Python microservices.

If you are passionate about building low-latency, high-performance voice experiences without relying on OpenAI, Azure, or Amazon Lex — this is the perfect role for you.

Key ResponsibilitiesReal-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.
• 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

Job Types: Full-time, Permanent

Pay: ₹1,000,000.00 - ₹1,400,000.00 per year

Benefits:

• Provident Fund

Experience:

• total work: 2 years (Preferred)
• AI: 2 years (Preferred)
• voice streaming development : 2 years (Preferred)