Full Stack AI Developer for Healthcare SaaS

We are looking for an experienced AI Developer to build a modern Healthcare SaaS platform powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents. This is a long-term opportunity for someone who has successfully delivered production-grade AI applications and can own the development process from architecture to deployment. The platform will include an intelligent AI chatbot capable of contextual conversations, a RAG pipeline connected to healthcare documents and knowledge bases, AI agents with tool/function calling and workflow automation, secure backend APIs, authentication, and a responsive web interface. The ideal candidate should have strong experience with Python (FastAPI), React or Next.js, OpenAI or other leading LLMs, LangChain, LangGraph or LlamaIndex, vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS, and cloud deployment using AWS, Azure, or GCP. Experience building AI-powered SaaS products is required, and previous work in Healthcare or HealthTech is a strong advantage. You should understand scalable system design, secure application development, and best practices for deploying AI applications in production. When applying, please share links to relevant RAG, AI Agent, or LLM-based projects, your GitHub or portfolio, the technologies you used, and a brief description of your role in those projects. We're looking for someone who can write clean, maintainable code, communicate effectively, and help build a scalable AI product from the ground up.