Java Full Stack AI Engineer

Position-Java Full Stack AI Engineer Location-Miami, FL (5 days ONSITE) Rate-$60/hr on W2. Visa- USC/GC Only. Role Summary We are seeking an experienced Full-Stack AI Engineer to design, build, and scale production-grade AI applications. The ideal candidate combines strong frontend expertise in React, Next.js, and TypeScript with backend development in Node.js and Python, and has hands-on experience integrating LLM APIs, real-time streaming interfaces, RAG pipelines, AI agent workflows, and scalable multi-tenant architectures. Day-to-Day Responsibilities Design and develop scalable full-stack AI applications using React, Next.js, TypeScript, Node.js, and Python.Own the full UI lifecycle from wireframe through production, including accessibility, responsiveness, and performance optimization.Develop streaming conversational interfaces using Server-Sent Events (SSE) and WebSockets.Implement token-level streaming for real-time AI response rendering.Build and maintain RESTful APIs and asynchronous backend services.Integrate and orchestrate LLM APIs, tool calling, and multi-step AI workflows.Collaborate with AI/ML engineers to integrate structured JSON outputs into frontend rendering pipelines.Design scalable multi-tenant architectures with row-level security.Build and optimize Retrieval-Augmented Generation (RAG) pipelines and AI agent workflows.Support deployment automation, CI/CD, and cloud-native infrastructure operations.Collaborate effectively with globally distributed engineering and product teams. Basic Qualifications 7+ years of professional experience with React and TypeScript.7+ years of experience designing REST APIs and asynchronous backend systems.5+ years of experience building applications using React and Next.js.3+ years of experience integrating LLM APIs into production applications.3+ years of experience implementing streaming UI patterns using SSE or WebSockets.Strong experience building scalable multi-tenant applications.Hands-on experience with Node.js and Python backend development.Experience with AI orchestration workflows and conversation state management.Preferred Technical ExpertiseExperience with RAG architectures, vector search, embeddings, and AI agent frameworks.Overall understanding of ADF & JAVA frameworksUnderstanding of LLM tool/function calling, structured outputs, prompt orchestration, and stateful conversational applications.Experience with cloud-native deployment patterns, containerization, observability, and CI/CD.Strong understanding of frontend performance, accessibility standards, secure API design, and production engineering best practices.Core Technology Stack Area Technologies / Capabilities Frontend: React, Next.js, TypeScript, responsive UI, accessibility, performance optimizationBackend: Node.js, Python, RESTful APIs, asynchronous servicesReal-Time: SSE, WebSockets, token-level streamingAI / LLM: LLM APIs, tool calling, structured JSON outputs, orchestration, conversation stateAI Architecture: RAG pipelines, AI agents, multi-step workflowsArchitecture: Scalable multi-tenant applications, row-level securityDevOps / Cloud : CI/CD, deployment automation, cloud-native infrastructure