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# Java Full Stack Lead (AI/LLM Integration)

- **Company:** iTech US, Inc.
- **Location:** Woodland Hills, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Spring Security, Agile Methodology, Artificial Intelligence, Amazon Web Services, HTML5, Microsoft Azure, Cascading Style Sheets (CSS), Cloud Computing, Software Quality, Information Systems, Databases, Junit, Apache Maven, Microsoft SQL Server, MongoDB, MySQL, Oracle (Applications), Scrum Methodology, Mockito, TypeScript, Java Application Server, Spring-mvc, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Spring-boot, SOAPAPI, Git, AngularJS, Integration Tests, Kubernetes, Information Technology, Apache Kafka, Graphql, Restful APIs, Docker, Jenkins, Microservices
- **Published:** August 27, 2026
- **Apply:** https://www.dice.com/job-detail/5e08835c-08bd-4022-a333-79ab023bfc45

## About the Role

* Java 11/17/21
 * Spring Boot, Spring MVC, Spring Security
 * Microservices Architecture
 * REST APIs, SOAP Services
 * Angular (11+/19), ReactJS, TypeScript, HTML5, CSS3
 * Azure/AWS Cloud Platforms
 * SQL Server, Oracle, MySQL, MongoDB
 * Git, Maven, Jenkins
 * JUnit, Mockito
 * Agile/Scrum
 * Kafka

Preferred Skills:

 * OpenAI/LLM Integration
 * Spring AI, LangChain4j
 * RAG (Retrieval-Augmented Generation)
 * Prompt Engineering
 * AI-powered Microservices
 * Kafka
 * Docker/Kubernetes
 * GraphQL, * 10+ years of hands-on Java/J2EE development experience.
 * Strong experience in Spring ecosystem, Angular, databases, and cloud technologies.
 * Experience delivering AI-enabled enterprise, Education: At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or a closely related field is required for the project

## Description

* Design, develop, and maintain enterprise-grade Java applications using Spring Boot and Microservices.
Build and consume RESTful APIs and integrate third-party services.

 * Develop responsive user interfaces using Angular and TypeScript.
 * Design and implement cloud-native solutions on Azure and AWS.
 * Integrate AI/LLM capabilities using OpenAI, Spring AI, and LangChain frameworks.
 * Implement RAG-based solutions and prompt engineering techniques to improve AI application performance
 * Collaborate with cross-functional teams in Agile environments.
 * Develop unit and integration tests and ensure code quality through best practices


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