Python Full Stack Engineer

Python Full Stack Engineer Miami, FL Full time Role Overview We are 8–12 Years seeking a highly skilled Full Stack Engineer with strong experience in Python-based backend development, ReactJS frontend, and modern AI/GenAI systems. The role involves designing and building scalable, data-intensive applications, integrating microservices, and agentic AI systems. Key Responsibilities Develop responsive and interactive frontend applications using React.js / Node.js, including map-based visualization of properties Design and build scalable backend services using Python (FastAPI, Flask, Django) and .NET (C#) for property, mortgage, and investment workflows Build and integrate RESTful APIs, adapters, and microservices for end-to-end feature delivery and drill-down capabilities Design and optimize database schemas using Azure SQL / PostgreSQL / MySQL / SQL Server Integrate with knowledge graph systems (Neo4j, Cosmos DB) for entity-relationship modeling Enable interaction with agentic AI systems (Python-based) and production-grade LLM integrations Develop RAG (Retrieval-Augmented Generation) pipelines and implement MCPs (Model Context Protocol / modular AI pipelines) Ensure performance, scalability, security, and high availability of applications Collaborate with product, data, and engineering teams to define architecture, HLD/LLD, and deliver end-to-end solutions Debugging frontend and backend production issues. Performance tuning and optimization. Experience in HLD (High-Level Design) and LLD (Low-Level Design) for distributed systems Data latency reduction techniques. Scalability and fault-tolerant design. Handling schema drift & concept drift in ML systems. Hands-on experience with: RAG pipelines LLM integration beyond POCs Agentic AI systems Model Context Protocols (MCPs) Must-Have Skills Strong experience in Python backend development (FastAPI / Flask / Django) Hands-on expertise in ReactJS (Hooks, state management) Azure SQL, PostgreSQL, MySQL Experience with Microsoft Azure Understanding of: Containerization using Docker & Kubernetes CI/CD pipelines (Azure DevOps / GitHub Actions / Jenkins)