Build a Personal AI Assistant Mobile App, Agentic Workflows, Tool Calling & RAG Experience Required

We are looking for an experienced AI and mobile developer to build an AI-powered personal assistant app for iOS and Android. The main focus of this app is AI. Users should be able to interact with the assistant through text, voice, images, and documents. The AI should understand context, remember useful user preferences, and help users organize information, create plans, and complete everyday tasks. We are open to native iOS, native Android, React Native, or Flutter. Please recommend the best approach based on the AI features, performance, and long-term scalability. Key Features • AI chat with streaming responses • Voice conversations with speech-to-text and text-to-speech • Upload and understand images, PDFs, and documents • Ask questions about uploaded files • AI memory for relevant user preferences and past conversations • Personalized responses based on user context • Generate summaries, plans, checklists, and recommendations • Turn voice notes and ideas into organized tasks • Search previous conversations and saved information • AI-powered daily or weekly summaries • Push notifications and smart reminders • Free and premium subscription plans AI Requirements • Integration with OpenAI, Claude, Gemini, or similar AI models • Multimodal AI for text, voice, images, and documents • RAG and vector search for document-based questions • AI memory and conversation context • Prompt and token management • AI usage limits and API cost control • Basic safety and content moderation • Reliable error handling and response performance Mobile and Backend • User registration and secure login • Apple and Google sign-in • Backend and database • Conversation history and saved content • Subscription and in-app purchase integration • Basic admin controls for users and AI usage • App Store and Google Play deployment Technology We are open to: • Swift / SwiftUI • Kotlin / Jetpack Compose • React Native / TypeScript • Flutter / Dart • Node.js or Python • Firebase or Supabase • OpenAI, Claude, Gemini, or similar AI APIs • Pinecone, Qdrant, pgvector, or similar vector databases The technology is flexible. Please explain what you recommend for this project and why. What We’re Looking For • Strong experience building AI-powered applications • Experience with LLM APIs and multimodal AI • Experience with RAG, vector databases, and AI memory • Experience building mobile apps for iOS and Android • Experience with voice, image, and document AI features • Experience with subscriptions and app-store deployment • Good understanding of AI API costs and performance When applying, please share: An AI-powered mobile app you have built Which AI models and APIs you have used Your experience with RAG, vector databases, or AI memory Your recommended mobile technology for this project Two relevant AI or mobile projects from your portfolio This will start as an MVP, with the potential for ongoing work as we add more AI capabilities, integrations, and automation.