AI Engineer (Speech & Voice Systems)

About the Role

AI Engineer specializing in Speech & Voice Systems

Responsibilities

• Develop and optimize

  speech-to-text (STT)

  systems (e.g., Whisper, Vosk) for low-latency recognition.
• Implement and enhance

  text-to-speech (TTS)

  systems (Coqui, Piper, VITS), including multi-voice support and style variations.
• Prototype and refine

  wake-word detection

  and integrate

  noise suppression, VAD, AGC, and audio normalization

  for robust performance.
• Apply

  model optimization techniques

  (quantization, ONNX, CTranslate2, GGUF/ggml) for offline/CPU-first inference.
• Design caching, streaming, and batching strategies to meet

  real-time performance targets (<2s response)

  .
• Collaborate with backend engineers to expose APIs (/stt, /tts, /wakeword) for integration into apps.
• Monitor performance via observability dashboards (Prometheus/Grafana, OpenTelemetry).
• Ensure

  privacy-first design

  : local-first processing with optional cloud fallback.

Qualifications

• 5+ years of professional experience

  in applied AI, with at least

  3 years focused on speech technologies

  .
• Proven experience building

  production-grade STT/TTS systems

  .
• Strong knowledge of

  audio/DSP fundamentals

  : resampling, denoising, VAD, loudness normalization.
• Proficiency in

  Python (PyTorch)

  ; experience with

  FastAPI/Docker

  for model serving.
• Familiarity with

  wake-word frameworks

  (Porcupine, Snowboy) and streaming audio integration.
• Track record of delivering

  low-latency speech systems

  optimized for edge devices.
• IIT/NIT/Tier 1 Colleges Preferred

Nice to Have

• Experience with

  multilingual voice systems

  .
• Familiarity with

  real-time streaming architectures

  (WebRTC, gRPC).
• Exposure to

  IoT/edge deployment

  .