Senior Java Developer with AI and LLM with Security Clearance

Description
Location: Woodlawn, MD – On-site, 5 days per week
Employment: Full-time
Compensation: $125,000-$155,000/year, based on experience
Clearance: Must be able to obtain and maintain Public Trust
Position ID: SO-5358 Position Overview
We are seeking an experienced Senior Java Developer with AI and LLM to design, develop, maintain, and support enterprise software applications using Java, Spring Boot, RESTful APIs, Generative AI, and Large Language Models (LLMs).

This role focuses on developing scalable, high-performance microservices and service-oriented applications while integrating and operationally supporting LLM and agentic AI components within enterprise environments. The successful candidate will collaborate with cross-functional teams, contribute to software architecture and development, support modern DevOps practices, and provide technical guidance to junior and mid-level developers. The position requires working on-site in Woodlawn, MD, five days per week. Interviews will be conducted in person.

Responsibilities
Design and develop software applications based on functional requirements using Twelve-Factor App methodology. Design and develop enterprise applications using Java, Spring Boot, and REST APIs. Collaborate with product design and engineering teams to understand business and technical requirements. Design, develop, and maintain microservices using Spring Boot, Java, and RESTful architecture. Develop SOAP-based web services using JAX-WS, Apache Axis, and Web Services Description Language (WSDL).

Apply DevOps practices, CI/CD pipelines, and tools such as Jenkins, Git, and Bitbucket. Work with cloud platforms, including AWS, Azure, or Google Cloud, and containerization technologies. Collaborate with business analysts, quality assurance teams, project managers, and other stakeholders. Develop comprehensive Java unit tests based on real-world scenarios using JUnit, Mockito, and PowerMock. Participate in customer technical discussions, architecture reviews, design sessions, and development meetings.

Recommend technical solutions to enhance existing architecture, improve code quality, and optimize development processes. Provide technical guidance and support to junior and mid-level developers. Maintain continuous learning and stay current with emerging technologies. Perform other duties as assigned or directed. Requirements
Minimum Qualifications
10+ years of experience with Java, Spring Boot, Generative AI, and Large Language Models (LLMs). Master's degree with 5+ years of experience, Bachelor's degree with 7+ years of experience, OR 13+ years of experience in lieu of a degree.

Extensive software design and programming experience using Java and Java Enterprise Edition (JEE) technologies. Experience working on Agile projects, including strong knowledge of Agile terminology and tools such as Agility. Experience designing high-throughput, low-latency Java systems and scalable architectures supporting high volumes of concurrent requests with minimal response times. Strong hands-on experience with Java, Spring Boot, and REST APIs.

Experience integrating and operationally supporting LLM and agentic AI components within enterprise applications, including: Retrieval-Augmented Generation (RAG) and vector search, Agent orchestration frameworks, LLM evaluation and guardrail approaches, and Deployment, monitoring, and automated retraining pipelines. Technical experience with PostgreSQL, MongoDB, SQL, AWS S3, Agile software development, Git, Bitbucket, Jenkins CI/CD, Eclipse, code reviews, multithreaded application development, and production support.

Experience designing and deploying cloud-native applications on AWS using PostgreSQL. Experience with modern continuous integration and software development tools, including Jenkins, Git/Bitbucket, Jira, Nexus, Maven, SonarQube, Fortify, and UrbanCode Deploy. Hands-on experience designing and developing microservices and RESTful APIs. Experience with automated unit testing using JUnit and mocking frameworks, Test-Driven Development (TDD), and Behavior-Driven Development (BDD) using Cucumber.

Experience with JEE technologies, including: Struts, Spring Framework (IoC, MVC, Transactions, Security, and Batch), Spring Boot and Spring JDBC, JPA and Hibernate, SOAP/RESTful web services and XML, DB2, Tomcat, and WebSphere. Experience using static code analysis tools such as SonarQube and addressing technical debt, including bugs, vulnerabilities, and code security hotspots. Knowledge of web application security vulnerabilities and remediation practices. Must be able to obtain and maintain a Public Trust clearance. Must be willing to work on-site in Woodlawn, MD, five days per week.

Must be available to attend an in-person interview.

Preferred Qualifications
Strong understanding of emerging Artificial Intelligence (AI) trends and the ability to apply AI technologies to enhance or redesign existing system architectures.
Ability to identify opportunities where AI-driven solutions can add business value, improve operational efficiency, or introduce new capabilities.
Experience writing technical white papers and system design documents.
Prior experience supporting federal or state government IT projects.

Benefits
Salary: $125,000-$155,000/year, based on experience Health insurance stipend. More benefits will be added in the next 6 months.