Full-Stack Mobile & Web Developer (or Agency) for AI-Driven EdTech SaaS Platform (MVP

Full-Stack Mobile & Web Developer (or Agency) for AI-Driven EdTech SaaS Platform (MVP) Job Description : Overview: We are looking for a high-caliber Full-Stack Developer (or a specialized software development agency) to build the MVP for an innovative AI-driven Educational Technology (EdTech) SaaS platform named Smart Clinical Tutor (SCT). The platform is designed for higher education, specifically targeting medical and health sciences students and institutions. The project consists of a cross-platform Mobile Application (iOS & Android) for students and a responsive Web Dashboard for university faculty. Key Features to Implement (Detailed in the attached SOW): 1.AI Clinical Case Simulator: A dynamic, multi-turn chat interface mimicking patient-doctor interaction, leveraging LLM APIs to evaluate student performance and provide real-time, evidence-based feedback with references. 2.AI Research Assistant: A PDF parsing and interrogation module allowing students to interact with, summarize, and extract data from dense medical journal articles. 3.Institutional B2B Faculty Dashboard: A web-based portal featuring predictive performance analytics, aggregate class weaknesses, and student group management. 4.Monetization Layer: Smooth integration of global payment gateways (e.g., Stripe) along with localized digital mobile wallets. Preferred Technical Stack: Mobile Front-End: Flutter or React Native (Single codebase for iOS & Android). Web Front-End: React.js or Vue.js. Backend & Cloud: Node.js (TypeScript) or Python (FastAPI) deployed on serverless infrastructure (AWS or Firebase) for seamless auto-scaling. AI Orchestration: OpenAI (GPT-4o) or Anthropic Claude APIs, utilizing Retrieval-Augmented Generation (RAG) framework paired with vector databases (e.g., Pinecone/Milvus) to ensure accuracy and zero hallucination. What We Expect from You: Proven experience in cross-platform mobile development and building complex web dashboards. Strong expertise in AI integration, prompt engineering, and RAG architectures. Ability to deliver clean, documented, and maintainable code. Experience building multi-tenant SaaS structures is a big plus. How to Apply: We have a comprehensive Software Requirements Specification & Scope of Work (SOW) Word document ready for the right candidate. To protect our intellectual property, we will not attach the detailed SOW publicly. Before we share the detailed technical document, we require signing a standard Non-Disclosure Agreement (NDA). In your proposal, please include: 1.Brief examples of similar AI integrations or SaaS projects you have developed. 2.Your recommended tech stack based on our requirements. 3.An initial estimated timeline and budget range for the milestones specified in the document. Please confirm in your proposal that you are ready and willing to sign a standard NDA to receive the full SOW document. We are looking to initiate discovery calls immediately with qualified candidates.