iOS Engineer
Aqua Voice
iOS 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 building Aqua Voice for iOS. This is a greenfield project — you'll own the mobile experience from the ground up.
What you'll work on:
- Native iOS app with system-level voice input (keyboard extension, Shortcuts, Siri integration)
- Real-time audio capture and streaming to our transcription backend
- Deep iOS integrations
This isn't a wrapper around a web view. We care about native performance and deep system integration.
- Swift (SwiftUI + UIKit where needed)
- Audio: AVFoundation, Audio Unit, real-time streaming
- Networking: WebSockets, streaming protocols
- System: Keyboard extensions, Shortcuts, accessibility APIs
- Shipped iOS apps to the App Store — show us what you've built
- Strong Swift fundamentals
- Experience with audio capture/processing or real-time streaming
- Comfortable working at the system level (extensions, background modes, entitlements)
- Bonus: ML/Core ML experience, accessibility work, or prior voice/speech projects
- You're fast, you ship, you don't need hand-holding
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