AI Software Engineer – Java

Software Developer - Java

As a solutions-driven organization supporting Department of Defense (DoD) programs, Tech(x) provides mission-focused engineering and technical expertise that enables secure, resilient, and modernized defense capabilities.

Our team is seeking a Java Software Developer to support the development, integration, and sustainment of enterprise and tactical software systems used across DoW networks and operational environments. This role will contribute to modernizing applications through secure coding practices, scalable microservices architecture, Dev Sec Ops  pipelines, and emerging Artificial Intelligence (AI) and Machine Learning (ML) enabled capabilities supporting defense mission systems.

The ideal candidate will possess strong Java development expertise while also demonstrating familiarity with AI/ML concepts, data-driven applications, intelligent automation, and modern software frameworks supporting advanced analytics and decision-support systems.

• Design, develop, and maintain Java-based enterprise applications and backend services supporting DoD mission systems.
• Build and support RESTful APIs and microservices architectures using modern Java frameworks such as Spring Boot, Spring MVC, or Jakarta EE.
• Develop secure and scalable software solutions compliant with DoD cybersecurity standards and secure coding practices.
• Participate in the full Software Development Lifecycle (SDLC) including requirements analysis, architecture design, development, testing, deployment, and sustainment.
• Integrate applications with databases, messaging services, and external systems using technologies such as REST, SOAP, JMS, or gRPC.
• Support the development of distributed systems and cloud-enabled applications in government environments.
• Assist in the integration of Artificial Intelligence (AI) and Machine Learning (ML) capabilities into enterprise and tactical software solutions.
• Develop and support AI-enabled software components including intelligent automation, predictive analytics, data processing pipelines, or decision-support applications.
• Collaborate with data engineers, AI/ML engineers, and system architects to integrate machine learning models into operational Java applications.
• Support software interfaces with AI/ML frameworks, APIs, and analytics platforms.
• Implement automated unit, integration, and regression testing to ensure software reliability and maintainability.
• Contribute to Dev Sec Ops  pipelines, CI/CD automation, and containerized deployments using tools such as Git, Jenkins, Maven, Gradle, Docker, Kubernetes, or similar technologies.
• Troubleshoot and resolve software defects across development, integration, and production environments.
• Collaborate with system engineers, cybersecurity teams, and test engineers to ensure compliance with program requirements and security controls.
• Participate in code reviews, technical design reviews, and architecture discussions.
• Support integration and testing activities in development laboratories and operational test environments.
• Produce technical documentation including design documents, interface specifications, software implementation guides, and AI/ML integration documentation.
• Ensure software products comply with DoD security frameworks, RMF requirements, secure coding standards, and government development standards.
• Perform other duties as assigned in support of program objectives.

• Strong experience with Java software development in enterprise or mission-critical environments.
• Experience developing applications using Java frameworks such as Spring Boot, Spring Framework, or Jakarta EE.
• Experience designing and implementing RESTful services and microservices architectures.
• Familiarity with object-oriented design principles, design patterns, and secure coding practices.
• Experience working with relational or No
  
  SQL databases such as PostgreSQL, Oracle, MySQL, or MongoDB.
• Experience using version control and CI/CD tools such as Git, Jenkins, Maven, or Gradle.
• Experience working in Linux-based development environments.
• Understanding of Dev Sec Ops  practices and container technologies such as Docker or Kubernetes is preferred.
• Familiarity with Artificial Intelligence (AI), Machine Learning (ML), or data analytics concepts and their integration into software applications.
• Experience integrating software with AI/ML APIs, analytics engines, or data processing services is preferred.
• Familiarity with AI/ML frameworks, tools, or libraries such as Tensor Flow, PyTorch, OpenAI APIs, Lang Chain, Hugging Face, or similar technologies is a plus.
• Understanding of data pipelines, model deployment, inference services, or intelligent automation concepts is desired.
• Experience supporting large-scale government, defense, or enterprise systems.
• Familiarity with DoD cybersecurity frameworks, RMF, STIG compliance, or Zero Trust concepts is a plus.
• Proficiency with Microsoft 365 tools including Outlook, Word, PowerPoint, Excel, and Teams.
• Strong written and verbal…