About Futureproof Labs

Futureproof Labs is an AI-native product studio building human-first AI products designed for real-world speed and impact. You’ll 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 and 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 and near-real-time use.
• Integrate voice I/O with existing AI backend (NLP and LLM-driven logic).
• Design and implement voice-based user interactions and 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, and logging for voice pipelines to track performance, accuracy, latency, and 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 and 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, and latency optimization to make 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 and dialog flows (handling multi-turn conversation, context retention).
• Exposure to multilingual and accented speech, or handling dialect and 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.