AI Engineer

20 hours ago

Noida Sector Noida Uttar Pradesh, India Ensocode Full time ₹ 10,00,000 - ₹ 14,00,000 per year

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, ₹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)

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