Speech AI Engineer (Voice AI & Multilingual Conversational Systems)

Overview

We're building the future of voice intelligent, expressive, multilingual systems that can understand, respond, and connect with humans naturally.

As ourSpeech AI Engineer

deep learning, linguistics, and emotion modeling

Arabic, English, Hindi

This role is for those who thrive on pushing limits where milliseconds matter, and the voice you create will represent the next leap in humanAI interaction.

Key Responsibilities

• Design and deploy

  ASR/STT systems

  using Whisper, NeMo, or Azure Speech.
• Develop

  TTS pipelines

  capable of expressive, multilingual synthesis (Arabic, English, Hindi).
• Fine-tune and customize models for

  dialects and prosody control

  , especially Emirati Arabic.
• Build robust

  speech preprocessing

  , noise reduction, and diarization systems.
• Integrate voice AI into live contact center flows with CRM and LLM backends.
• Work with linguists and UX teams to build emotionally adaptive voice personas.
• Optimize speech models for

  GPU inference

  ,

  batch streaming

  , and

  low-latency response

  .

Preferred Project Experience

• Minimum 4 years

  of experience delivering results in fast-paced, high-pressure project environments
• Delivered production-grade

  speech models

  (contact centers, IVRs, assistants).
• Fine-tuned or trained

  custom TTS/ASR

  for specific regions or accents.
• Integrated

  speech pipelines with LLMs

  in deployed systems.
• Experience with

  voice analytics

  ,

  emotion detection

  , or

  speaker ID systems

  .
• Provide a

  sample

  ,

  demo

  , or

  GitHub

  link showing your speech or voice-related project.

Minimum Qualification

• Bachelor's degree in Computer Science, Electrical Engineering, or Linguistics with AI focus.

Preferred Qualification

• Master's in Speech Processing, Computational Linguistics, or AI/ML.
• Specialization in

  Signal Processing, Deep Learning for Audio

  , or

  Multilingual Speech Systems

  .
• Research or thesis work in

  speech synthesis, accent modeling, or dialogue systems

  .