Full-Stack Software Engineering Intern

## What Drives Success As an AI-Enabled Full Stack Software Engineering Intern, you will work across frontend development, backend services, data modeling, testing, and documentation activities. This is an excellent opportunity to gain experience with modern software engineering, AI-assisted development workflows, and enterprise-scale application modernization projects. ## What You'll Be Doing: ### Full Stack Application Development - Design, build, and refine production-quality web application features under the guidance of experienced software engineers. - Develop frontend components and user experiences using Angular, TypeScript, HTML, and CSS. - Build and enhance backend services using Java, Spring Boot, and REST APIs. - Translate business requirements and user feedback into scalable software solutions. ### AI-Enabled Software Delivery - Support the development and validation of reusable AI skills, agents, scaffolding patterns, and iterative delivery workflows. - Explore and improve AI-assisted development techniques to increase quality, speed, and repeatability. - Assist in documenting and refining AI development practices for future project teams. - Contribute to the creation of reusable playbooks, development standards, and delivery frameworks. ### Application Modernization & Product Development - Support modernization efforts for strategic enterprise applications, including the ADP Compass platform. - Develop user-facing capabilities such as search functionality, configuration tools, optimization results, and comparison views. - Assist in enhancing solution resiliency, performance, and maintainability. - Participate in feature reviews, demonstrations, and sprint-based development activities. ### Data & Domain Modeling - Work with relational databases, data models, and application schemas. - Support the creation and validation of data sets used for testing and solution verification. - Assist in analyzing application outputs and ensuring alignment with business requirements. - Collaborate with technical teams to improve data quality, performance, and reliability. ### Quality Engineering & Continuous Improvement - Create and execute unit, integration, and user interface tests. - Develop test cases and support validation efforts to ensure software quality. - Assist with debugging, troubleshooting, and defect resolution. - Capture lessons learned and recommendations to improve future software delivery initiatives. ## What We Are Looking For: - Currently pursuing a Master's degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, Management Information Systems, or a related technical field - Experience with Java and Spring Boot or a comparable backend development framework - Experience with Angular, TypeScript, HTML, and CSS - Understanding of REST API design and integration principles - Knowledge of SQL, relational database concepts, and data modeling - Familiarity with Git and GitHub version control practices - Strong analytical and problem-solving skills - Ability to learn quickly, work through ambiguity, and adapt to changing priorities - Strong written and verbal communication skills - Ability to work effectively in a collaborative, cross-functional environment ## Preferred Qualifications - Experience with GitHub Copilot, Claude Code, AI coding assistants, agent workflows, or prompt engineering - Understanding of reusable AI development patterns, skills, or MCP-based integrations - Experience with automated testing frameworks such as JUnit, Playwright, Jest, Jasmine, or Karma - Familiarity with Azure, AKS, CI/CD pipelines, containers, authentication, or observability tools - Exposure to optimization algorithms, data modeling, or complex business domains - Interest in large-scale data processing, performance tuning, and data-intensive applications