AI Engineer (Voice) - Python - Future Proof Labs

This Job is posted by Taraki on behalf of its client, Future Proof Labs . Candidates can apply here and also check out more jobs directly on our website.

JOB DETAILS

About Futureproof Labs

Futureproof Labs is an AI-native product studio building human-first AI products designed for real-world speed and impact. Youll be joining a team focused on transforming raw AI capability into polished, commercially deployable products.

Role Summary

We are seeking a Mid–Senior AI Engineer focused on voice / speech to design, build, and maintain voice-based components (speech-to-text, text-to-speech, voice interface) for Futureproof Labs AI products. This is a focused, non-generalist role: you will specialize in voice-interaction and speech-AI, not full-stack across everything.

We are looking to add the absolute best engineering talent to bolster our team as we build AI products for the US and Canadian markets. You'll get to work with experienced and established founders in North America as you build cutting-edge solutions that can have a global impact.

Key Responsibilities

• Build and optimize speech-to-text (STT) and text-to-speech (TTS) capabilities for real-time / near-real-time use.
• Integrate voice I/O with existing AI backend (NLP / LLM-driven logic).
• Design and implement voice-based user interactions / flows (voice queries, commands, prompts, clarifications).
• Handle typical real-world speech challenges noise, accents/dialects, latency, error recovery, fallback to text if needed.
• Ensure proper handling of voice data (privacy, security, consent), especially if audio or transcripts are stored or processed.
• Write tests, monitoring, logging for voice pipelines track performance, accuracy, latency, error rates.
• Iterate on voice modules based on usage data and feedback; continuously improve performance and usability.
  
  
  

Required Experience & Skills

• At least 3–5 years of experience in speech / voice engineering or related ML/AI roles.
• Strong proficiency in backend programming (e.g. Python) for integrating speech modules with AI logic.
• Understanding of real-time processing, audio pipelines, latency optimization — making voice interactions smooth and responsive.
• Ability to integrate voice front-end with AI/LLM-based backend systems.
• Good collaboration and communication skills to work with product, design, and backend/ML teams.
  
  
  

Nice to Have

• Experience with conversational AI / dialog flows (handling multi-turn conversation, context retention).
• Exposure to multilingual / accented speech, or handling dialect/ accent variability.
• Audio pre-processing skills (noise reduction, normalization), or familiarity with speech-domain challenges.
• Previous experience building voice-based tools — voice assistants, voice-driven workflows, or voice-enabled enterprise tools.