Python Full Stack Engineer

Python Full Stack EngineerMiami, FLFull timeRole OverviewWe 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 ResponsibilitiesDevelop responsive and interactive frontend applications using React.js / Node.js, including map-based visualization of propertiesDesign and build scalable backend services using Python (FastAPI, Flask, Django) and .NET (C#) for property, mortgage, and investment workflowsBuild and integrate RESTful APIs, adapters, and microservices for end-to-end feature delivery and drill-down capabilitiesDesign and optimize database schemas using Azure SQL / PostgreSQL / MySQL / SQL ServerIntegrate with knowledge graph systems (Neo4j, Cosmos DB) for entity-relationship modelingEnable interaction with agentic AI systems (Python-based) and production-grade LLM integrationsDevelop RAG (Retrieval-Augmented Generation) pipelines and implement MCPs (Model Context Protocol / modular AI pipelines)Ensure performance, scalability, security, and high availability of applicationsCollaborate with product, data, and engineering teams to define architecture, HLD/LLD, and deliver end-to-end solutionsDebugging 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 SkillsStrong experience in Python backend development (FastAPI / Flask / Django)Hands-on expertise in ReactJS (Hooks, state management)Azure SQL, PostgreSQL, MySQLExperience with Microsoft AzureUnderstanding of:Containerization using Docker & KubernetesCI/CD pipelines (Azure DevOps / GitHub Actions / Jenkins)