Java Full Stack AI Engineer

TechDigital Group; Miami (FL); On-site; USD 140,000 - 190,000; Full time

Job summary

TechDigital Group in Miami seeks an experienced Full-Stack AI Engineer to design, build, and scale production-grade AI apps. You will own the UI lifecycle with React/Next.js/TypeScript and connect robust backend services in Node.js and Python, integrating LLM APIs and real-time streaming.

You will architect multi-tenant solutions, implement RAG pipelines, and collaborate with global teams to deliver scalable, secure, and observable cloud-native deliverables, with strong emphasis on performance

Qualifications

• 7+ years building React/TypeScript frontends.
• 5+ years designing RESTful APIs and asynchronous services.
• 3+ years integrating LLM APIs into production.
• 3+ years implementing streaming UI patterns (SSE/WebSockets).
• Experience with multi-tenant architectures and cloud-native infra.

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 and performance.
• Develop streaming interfaces using SSE and WebSockets.
• Implement token-level streaming for real-time AI rendering.
• Build and maintain RESTful APIs and asynchronous backend services.
• Integrate LLM APIs, tool calls, and multi-step AI workflows.
• Collaborate with AI/ML engineers to render structured JSON in UI.
• Design scalable multi-tenant architectures with row-level security.
• Build and optimize RAG pipelines and AI agent workflows.
• Support deployment automation, CI/CD, and cloud-native operations.
• Collaborate with globally distributed teams.

Skills

React

TypeScript

Next.js

REST APIs

Node.js

Python

LLM APIs

Streaming UI

Multi-tenant architectures

CI/CD

Cloud-native

Accessibility

Performance

Tools

Docker

Kubernetes

Git

CI/CD pipelines

Job description

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.

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