Generative AI Java Engineer: LLM, RAG & Cloud-Native Apps

Quantum Technologies. LLC; Richardson (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Quantum Technologies. LLC is seeking a Generative AI Developer with strong Java full-stack capabilities to design and deliver enterprise AI solutions. You will create LLM-based workflows and RAG architectures integrated with scalable cloud-native applications.

The role covers backend services with Java/Spring Boot and frontend UI using React/Angular, with emphasis on secure deployments, CI/CD, and collaboration across cross-functional teams to ship production-grade AI capabilities.

Qualifications

• Strong Java, Spring Boot, and microservices expertise.
• Experience with React or Angular frontend frameworks.
• Hands-on GenAI, LLMs, and RAG architectures.

Responsibilities

• Design enterprise-grade Generative AI solutions using LLMs and enterprise data.
• Build and implement RAG-based architecture and multi-agent workflows.
• Develop scalable backend services with Java, Spring Boot, and Microservices; UI with React/Angular.
• Integrate LLM APIs (Azure OpenAI/OpenAI) and vector databases for retrieval.
• Ensure secure, scalable deployments through cloud-native platforms, containers, orchestration and CI/CD.
• Collaborate with cross-functional teams to deliver production-grade AI solutions.

Skills

Java

Spring Boot

Microservices

React/Angular

GenAI/LLMs

RAG

Prompt engineering

LangChain

Agentic AI

Vector databases

Azure/AWS

Docker

Kubernetes

CI/CD

Copilot Studio

Tools

Azure OpenAI

Pinecone

FAISS

Azure AI Search

GitHub Copilot

Job description

Quantum Technologies. LLC is seeking a Generative AI Developer with strong Java full-stack capabilities to design and deliver enterprise AI solutions. You will create LLM-based workflows and RAG architectures integrated with scalable cloud-native applications.

The role covers backend services with Java/Spring Boot and frontend UI using React/Angular, with emphasis on secure deployments, CI/CD, and collaboration across cross-functional teams to ship production-grade AI capabilities.