Senior Java Developer with AI and LLM

• Design and develop software applications using Twelve-Factor App methodology from functional requirement
• Design and develop applications using Java, REST API and spring boot.
• Collaborate with product design and engineering teams to develop an understanding of needs.
• Design and develop Microservices using Spring Boot, Java and RESTful architecture.
• Develop Simple Object Access Protocol (SOAP) based Web Services using technologies such as JAX-WS, Apache Axis, and Web Services Description Language (WSDL).
• Good understanding of DevOps practices, CI/CD pipelines, and tools such as Jenkins, Git, Bitbucket, and experience with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies.
• Ability to collaborate with cross-functional teams, including business analysts, QA, and project managers and commitment to continuous learning and staying updated with emerging technologies.
• Develop unit test cases for every possible Java class with real scenarios using Junit, Mockito and Power Mock frameworks
• Attend all customer technical discussions/design/development meetings and provide viable technical solutions to further enhance the existing architecture and improve code quality/process.
• Provide guidance/support to other junior/mid-level developers.
• All other duties as assigned or directed.

• Selected candidate must be able to obtain and maintain a public trust clearance
• Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week, * Senior Software Development background in enterprise software development experience such as an extensive experience designing, developing, and maintaining service-oriented applications and APIs, including Java Spring Boot applications, RESTful web services, integrating and operationally supporting LLM and agentic AI components within enterprise applications., * Master’s and 5+ years of experience, Bachelor’s and 7+ years of experience or 13+ years in lieu of a degree
• 10+ years of experience with Java, Spring Boot, Gen AI, LLMs
• Extensive Design and Programming skills in Java and JEE technologies.
• Experience working on Agile projects and strong knowledge of Agile terminology and tools including Agility., * Experience in designing high-throughput and low-latency systems using Java, including architecting scalable solutions capable of handling large volumes of concurrent requests with minimal response times.
• Strong experience with Java, Spring boot, and REST API.
• Experience integrating and operationally supporting LLM and agentic AI components within enterprise applications, including retrieval-augmented generation and vector search, agent orchestration frameworks, LLM evaluation and guardrail approaches and the deployment, monitoring and automated retraining pipelines.
• Technical expertise should include PostgreSQL, MongoDB, SQL, Amazon Web Services (AWS) S3, Agile software development,
• Git, Bitbucket, Jenkins CI/CD, Eclipse, code reviews, multi-threaded application development, and production support
• Experience designing and deploying cloud-native applications onto AWS with PostgreSQL.
• Experience with modern software development tools for Continuous Integration including Jenkins, Git/BitBucket, Jira, Nexus, Maven, Jenkins, SonarQube, Fortify, and UrbanCode Deploy.
• Hands-on Design and development experience on Microservices and RESTful API.
• Experience with Automated unit test (i.e. JUnit, Mocking frameworks), Test Driven Development (TDD), and Behavior-driven development (BDD) (Cucumber).
• Experience with JEE technologies including Struts, Spring Framework (IoC, MVC, Transactions, Security, and Batch), Spring Boot, Spring JDBC, JPA, Hibernate, SOAP/RESTful, XML, DB2, Tomcat, WebSphere.
• Experience with static code analyzers like SonarQube and addressing SonarQube recommended technical debts such as bugs, vulnerabilities, hotspots in the code.
• Knowledge of security vulnerabilities in web applications and addressing them.

DESIRED SKILLS:

• Demonstrate a strong understanding of the latest trends in Artificial Intelligence (AI) and showcase the ability to apply AI knowledge to enhance or redesign existing system architectures, identifying opportunities where AI-driven solutions can add value, improve efficiency, or enable new capabilities.
• Exposure to writing Technical White Papers and systems design documents.
• Prior experience with federal or state governments IT projects.