Senior AI Engineer (Flutter + Firebase + LLM) – Add Personalized AI Assistant to Existing Mobile App

Job Details

Description

We are looking for an experienced AI engineer to integrate a personalized AI assistant into an existing Flutter mobile application. The app is already well into development and includes a Firebase backend, user profiles, recommendation logic, and structured data. The goal of this project is to design and implement an AI chat experience that provides personalized recommendations, educational guidance, and contextual answers based on user data and existing application logic. Required Skills Flutter Firebase / Firestore Cloud Functions OpenAI, Anthropic, Gemini, or other modern LLM APIs Prompt engineering Structured JSON responses REST APIs GitHub Secure backend architecture What You'll Build AI chat interface integrated into an existing Flutter app Backend AI integration using Cloud Functions Context-aware responses based on structured application data Conversation history Suggested follow-up questions Secure server-side API implementation Scalable architecture for future AI features We're Looking For Someone Who Has built production AI assistants or chat applications Understands how to combine LLMs with structured data Can recommend best practices for AI architecture and cost optimization Writes clean, maintainable code Communicates clearly and provides regular progress updates Nice to Have Experience with Retrieval-Augmented Generation (RAG) AI memory and conversation management Recommendation systems Mobile consumer applications Experience optimizing AI costs and performance

Skills

AI Chatbot Android iOS Smartphone Firebase Flutter Mobile App Development

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