What is the project, and why should you care?

This is an innovative AI-driven personal assistant platform designed to function as a “second brain,” helping users capture, organize, and analyze their life experiences.

We are currently developing an MVP that will include voice recording, transcription, and data analysis, with a long-term vision of evolving into a personalized digital twin.

Our team is seeking experienced professionals to help build this AI solution from scratch.

You will be an excellent fit for this position if you have:

Core Technical Skills

• 5+ years of experience in mobile frontend development (iOS/Android).
• 3+ years of iOS development (Swift / SwiftUI / UIKit).
• 2+ years of Kotlin Multiplatform (KMP), including Compose Multiplatform for UI.
• Solid Kotlin skills (Coroutines, Flow, async programming).
• Strong knowledge of modern mobile architectures: MVI, MVVM, multi-module setups.
• Hands-on with unit/UI testing frameworks.
• App Store release process experience (provisioning, certificates, TestFlight).
• Familiarity with native integrations (Bluetooth, Microphone, local storage, encryption).
• Comfortable working with REST APIs, JSON, Firebase, CI/CD (Fastlane, GitHub Actions, GitLab).

AI/ML-Related Skills

• Experience integrating on-device ML/AI models (e.g., Whisper, Google ML Kit).
• Familiarity with speech recognition, transcription, and TTS workflows.
• Ability to integrate AI APIs (OpenAI, Azure Cognitive Services, AssemblyAI).
• Understanding of privacy-first mobile AI practices (local inference, data minimization).

Soft Skills

• Strong communication and teamwork; able to collaborate with backend and QA.
• Proactive, ownership-driven, and detail-oriented.
• Curious about AI-driven UX, user feedback loops, and digital twin interactions.

Here are some of the things you’ll be working on:

• Develop and maintain the iOS frontend of the app using Swift/SwiftUI and KMP modules.
• Build and optimize cross-platform UI with Compose Multiplatform.
• Ensure smooth interoperability between iOS native code and shared Kotlin code.
• Implement AI-driven features (speech-to-text, contextual AI responses) in the mobile app.
• Collaborate with the backend (Python/AI) team on API and AI service integrations.
• Monitor and optimize performance, battery usage, and crash reports.
• Drive frontend testing strategy (unit, UI, snapshot testing).
• Work with the Product Owner and QA to refine acceptance criteria and deliver polished features.
• Support release management for TestFlight and App Store distribution.