Generative AI Developer with JAVA

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title:Generative AI Developer with JAVA

Duration: 10 Months

Bill Rate: $76/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

• Looking for a GenAI & Agentic AI Developer with strong Java Full Stack expertise to design and deliver LLM-based enterprise solutions, including RAG architectures and autonomous agent workflows, integrated with scalable, cloud-native applications.

Responsibilities:

• Design and develop enterprise-grade Generative AI solutions using Large Language Models (LLMs) and enterprise data
• Build and implement RAG-based architecture and agentic / multi-agent workflows for intelligent automation
• Develop scalable backend services using Java, Spring Boot, and Microservices architecture and UI using React/Angular
• Integrate LLM APIs (Azure OpenAI / OpenAI) and vector databases for knowledge retrieval and semantic search
• Ensure secure, scalable, and compliant deployment through cloud-native platforms, containerization, orchestration, and CI/CD pipelines
• Collaboratje with cross-functional teams to deliver AI-enabled, production-grade solutions

Required Skills:

• Strong proficiency in Java, Spring Boot, Microservices architecture, and React/Angular frameworks
• Hands-on experience in Generative AI, LLMs, and RAG-based solution development
• Expertise in prompt engineering and AI orchestration frameworks (LangChain, LangGraph or equivalent)
• Experience in agentic AI patterns, including multi-agent systems and tool-based integration
• Knowledge of vector databases (Pinecone, FAISS, Azure AI Search) and semantic retrieval techniques
• Experience with cloud platforms (Azure/AWS), containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
• Familiarity with Microsoft Copilot Studio for building conversational AI agents and enterprise copilots
• Hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, and other intelligent code editors/IDEs
• Understanding of enterprise AI governance, security, and compliance standards

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.