{"schemaVersion":"jobsearcher.job.v1","id":"a7167f7cde7728cb1c740ef6","url":"https://jobsearcher.com/jobs/a7167f7cde7728cb1c740ef6","canonicalUrl":"https://jobsearcher.com/jobs/a7167f7cde7728cb1c740ef6","title":"Python Full Stack Engineer","description":"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)","company":"Arkhya Tech","rawCompany":"arkhya tech","city":"Miami","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-06-26T13:51:27.081Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Full Stack Engineer","description":"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)","datePosted":"2026-06-26T13:51:27.081Z","dateModified":"2026-06-26T13:51:27.081Z","hiringOrganization":{"@type":"Organization","name":"Arkhya Tech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a7167f7cde7728cb1c740ef6"},"url":"https://jobsearcher.com/jobs/a7167f7cde7728cb1c740ef6"}}