Full Stack Engineer
Aqua Voice
Full Stack Engineer
Aqua Voice
Real-time voice-to-text dictation for apps
Aqua Voice is building the voice input layer for the age of AI. We train our own models and build deep OS integrations because doing voice well requires controlling the entire stack.
The way people work is changing. IC work is over; you manage AI agents now. This type of work is wonderfully suited for voice.
We aren't building conversational agents. We believe the most natural way to interact with your computer is voice in text out (VITO). We believe that voice belongs at a level above the application, and that a small company can win by pushing the envelope.
We are applying relentless energy to this opportunity and the results so far have been good. We hope you will join us.
We're a small team and growing. You'll touch every part of the system.
Recent projects include:
- Real-time transcription server handling thousands of concurrent audio streams
- Custom speech recognition model training and deployment
- Native macOS and Windows integrations using deep system APIs
- Frontend: TypeScript, React, Next.js, Electron
- Backend: Python, real-time server (Bun/Node.js), WebSockets
- Native: Swift (macOS), C# (Windows)
- ML: Custom speech recognition models, inference pipelines
- Infra: Terraform, Stripe
You don't need experience with all of this.
- Show us what you've built
- Comfortable switching between languages and domains
- Can own projects from idea to production
- Writes readable, maintainable code
- Experience in production systems
- You are a winner overall (will bring good luck to team etc.)
Real-time voice-to-text dictation for apps
Aqua Voice is a desktop voice-to-text tool for Mac and Windows that lets users dictate into any program without plugins. It combines a fusion transcription engine with a client context engine to deliver real-time, low-latency transcription with text insertions as fast as 450 ms. The product is context-aware and supports natural language editing commands, a customizable terminology dictionary, and 49 languages, making it suitable for individuals with dyslexia or carpal tunnel and professionals like historians or lawyers. It differentiates itself by running multiple AI models in parallel for higher accuracy and faster processing, offering a freemium model and team plans to scale, backed by YC Winter 2024 and seed funding.
Explore more opportunities at Aqua Voice