Senior Java Developer Spring Boot and GenAI/LLM

This is a chance to put large language models into production at federal scale. Our client, a leading defense and technology contractor, is adding LLM and agentic AI capabilities to enterprise Java applications that serve millions of people. We are looking for a senior Java engineer who has already built and supported this kind of integration, not just experimented with it. What You Will Do You will design and build Spring Boot microservices and RESTful APIs following Twelve Factor principles. You will integrate LLM and agentic AI components into them: retrieval augmented generation, vector search, agent orchestration, evaluation and guardrails, and the deployment and monitoring pipelines that keep them healthy. You will architect services for high throughput and low latency on AWS with PostgreSQL, support existing SOAP based integrations where they remain, and write thorough unit tests with JUnit and Mockito. You will join customer design and technical discussions, propose practical improvements to the architecture, and mentor junior and mid level developers. Required Master’s degree and 5+ years, Bachelor’s degree and 7+ years, or 13+ years of experience in lieu of a degree Senior level Java and Spring Boot development, including microservices and RESTful APIs Hands on experience integrating and supporting LLM or agentic AI components in an enterprise application: RAG, vector search, agent orchestration, LLM evaluation and guardrails Designing high throughput, low latency, multithreaded Java systems Cloud native development on AWS (including S3) with PostgreSQL; MongoDB and SQL CI/CD with Jenkins, Git/Bitbucket, Maven, Nexus, and SonarQube Automated testing with JUnit and mocking frameworks; TDD and BDD (Cucumber) Spring Framework depth (IoC, MVC, Security, Transactions, Batch), JPA/Hibernate, Spring JDBC Experience remediating SonarQube findings and web application security vulnerabilities Agile delivery experience Ability to obtain and maintain a Public Trust clearance Preferred A track record of finding where AI can improve or redesign an existing system architecture Technical white papers and system design documents Federal or state government IT experience Exposure to SOAP web services (JAX WS, WSDL), DB2, Tomcat