Full Stack Java/AI Developer

Position Description: The Computer Programmer (Senior) shall utilize IT equipment and languages (third- and fourth-generation or current state-of-the-art) to develop and prepare diagrammatic plans to solve business, management, communications, and strategic problems. This individual shall design detailed programs, flowcharts, and diagrams showing mathematical computations and sequence of machine operations necessary to copy and process data and print results. This individual shall verify the accuracy and completeness of programs and systems by preparing sample representative data and perform testing by means of cycle and system processing.

The Senior Full Stack Java/AI Developer will be responsible for designing, developing, and integrating intelligent services into complex enterprise applications. This includes leveraging cloud-native services in AWS, consuming or embedding AI/ML models, and delivering scalable, resilient full-stack solutions that power modern digital platforms for public sector programs such as Medicaid, SNAP, TANF, or Child Support.

The ideal candidate is fluent in Java frameworks, experienced in cloud deployments, and knowledgeable in how to incorporate AI-based APIs and models into backend services and user-facing applications.

1. Design, develop, and implement complex full-stack applications using Java, Spring Boot, and modern front-end frameworks (e.g., Angular).
2. Develop and integrate AI/ML services (e.g., NLP, recommendation, classification) into application workflows via REST or event-driven interfaces.
3. Build and consume APIs for AI services hosted in AWS SageMaker, containerized models (ECS/Fargate), or 3rd-party intelligent services.
4. Deploy and manage microservices in AWS environments using Lambda, API Gateway, EC2, S3, CloudFormation, ECS, and Aurora PostgreSQL.
5. Translate AI/ML outputs into intuitive, explainable interfaces or backend decision engines supporting business logic.
6. Integrate components using REST, SOAP, EJB, and secure web services standards.
7. Collaborate with cross-functional teams including AI/ML engineers, DevOps, UX, and product stakeholders.
8. Apply secure coding practices, conduct code reviews, and contribute to test-driven development pipelines.
9. Develop reusable components, SDKs, or utilities that streamline AI feature adoption across systems.

Education: This position requires a Bachelor s degree from an accredited college or university with a major in computer science, information systems, engineering, business, or a related scientific or technical discipline; or three (3) years of equivalent experience in a related field. (Note: A Master s degree is preferred.)

General Experience: The proposed candidate must have at least eight (8) years of programming experience in software development or maintenance.

Specialized Experience: The proposed candidate must have at least five (5) years of experience in IT systems analysis and programming.

1. Minimum of eight (8) years of experience in software development or maintenance.
2. Minimum of five (5) years of experience in IT systems analysis and enterprise programming.
3. Eight (8+) years in Java/J2EE development, with deep experience using Spring Boot, Hibernate, JPA, and RESTful APIs.
4. Three (3+) years of experience working with AWS cloud services, including Lambda, S3, RDS/Aurora, API Gateway, IAM, and CloudWatch.
5. Two (2+) years of experience integrating or consuming AI/ML services, including AWS SageMaker, pre-trained models (e.g., NLP, classification), or intelligent APIs.
6. Proficiency in Python or scripting languages for handling data flows and ML model interfacing is a strong plus.
7. Experience developing UI components in Angular 12+, JavaScript, TypeScript, and JSON-based dynamic rendering.
8. Knowledge of Git, Jenkins, Docker, and CI/CD pipelines.
9. Familiarity with cloud-native DevOps, containerization, and infrastructure as code (Terraform or AWS CDK) preferred.
10. Experience in Health & Human Services programs (e.g., IES, Child Support, Medicaid) is preferred.
11. Ability to design for accessibility (508 compliance) and secure data processing in regulated systems.
12. Understanding of concurrency, application performance tuning, and scalable web service architecture.