Contract role: Java Full Stack AI Engineer at Miami, FL (Remote) - Open for W2

Remote in FL, US • Posted 3 hours ago • Updated 45 minutes ago
Contract W2
Contract Independent
Remote
Fitment

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Job Details

Skills

  • DevOps
  • JSON
  • Spring Framework
  • ReactJS
  • Node.Js
  • Manufacturing Engineering
  • TypeScript
  • cloud computing
  • RESTful APIs
  • architecture
  • Artificial Intelligence
  • backend
  • full stack development
  • Performance tuning
  • Generative AI
  • Automation Anywhere
  • Next.js
  • cloud engineering
  • IT architecture
  • Large Language Models
  • Systems Integration
  • Front End Software Development
  • Region Management
  • Virtual Agents
  • Safety Principles
  • Data Streaming
  • Continuous Integration
  • Python (Programming Language)
  • Distributed Development
  • Containerisation
  • Search Technologies
  • Interpersonal Communications
  • Deployment Automation
  • Website Wireframe
  • Cloud Platform System
  • Machine Learning Operations
  • Agentic-AI
  • Multi-Agent Systems
  • Retrieval-Augmented Generation
  • Software Application Programming
  • Ui Patterns
  • WebSocket
  • Invoking Functions
  • Prompt Orchestration
  • Service Stack
  • Standards for Accessibility

Summary

Java Full Stack AI Engineer

Miami, FL (Remote)

Long Term Contract

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 Expertise

  • Experience with RAG architectures, vector search, embeddings, and AI agent frameworks.
  • Overall understanding of ADF & JAVA frameworks
  • Understanding 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 optimization
  • Backend: Node.js, Python, RESTful APIs, asynchronous services
  • Real-Time: SSE, WebSockets, token-level streaming
  • AI / LLM: LLM APIs, tool calling, structured JSON outputs, orchestration, conversation state
  • AI Architecture: RAG pipelines, AI agents, multi-step workflows
  • Architecture: Scalable multi-tenant applications, row-level security
  • DevOps / Cloud : CI/CD, deployment automation, cloud-native infrastructure
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10421780
  • Position Id: 2026-65404
  • Posted 3 hours ago
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