About the job
Software Engineering Intern
Responsibilities
Design, develop, and maintain a multi-modal Retrieval-Augmented Generation (RAG) system to index and retrieve content from ADO Wiki, including both text and image-based resources
Enable natural language querying capabilities to improve accessibility and efficiency of information retrieval across teams
Optimize system performance to deliver accurate, reliable, and timely responses, reducing dependency on manual support and ad hoc communication channels
Drive continuous improvement of internal knowledge management by enhancing the structure, usability, and adoption of ADO Wiki as a centralized source of truth
Implement AI-driven solutions to automate code documentation, including analysis of codebases and generation of structured, high-quality technical documentation
Develop and maintain documentation processes that clearly describe system architecture, core modules, and critical logic flows
Integrate automated documentation tools into the development lifecycle to ensure alignment with ongoing code changes and updates
Collaborate with engineering teams to improve code maintainability, readability, and overall documentation standards
Support onboarding efforts by creating accessible, up-to-date technical documentation and knowledge resources
Contribute to improving engineering efficiency by reducing time spent on knowledge discovery, legacy code analysis, and manual documentation tasks
Qualifications
Minimum
Currently enrolled in a four-year college and returning to school following the internship.
current junior rising senior graduating in fall 2026- spring 2027
Able to obtain work authorization in the United States in 2027, and not require sponsorship in the future.
Preferred
Familiarity with AI-driven tools and Large Language Models (LLMs)
Understanding of Single Sign-On (SSO) concepts and large-scale or enterprise deployments
Experience building or contributing to chatbots or conversational AI systems
Hands-on experience or strong conceptual understanding of Retrieval-Augmented Generation (RAG)
Strong problem-solving skills with the ability to work independently
A collaborative mindset: team player, self-motivated, and self-driven