Duties
Job Summary:
The Office of the Chief Administrative Officer (CAO) provides operations support services and business solutions to the community of 10,000 House Members, Officers and staff. The CAO organization comprises more than 650 technical and administrative staff working in a variety of areas, including information technology, finance, budget management, human resources, payroll, child care, food and vending, procurement, logistics and administrative counsel.
Established in January 2022, the CAO’s House Digital Service (HDS) helps solve the unique technology challenges experienced by Member, Committee, and Leadership offices in Congress. From application design and development to data analysis and identifying the latest technological solutions, HDS's mission is to make sure the People’s House is working efficiently for the American people.
HDS interns will assist the small and agile HDS team in their work, including research, design, implementation, coding, and testing of various technology solutions for congressional offices. HDS interns will learn what it's like to work with a modern, agile, user-focused, transparent, and collaborative development team.
* paid at an annual rate of $36,469 not to exceed 120 days
** The CAO standard business hours are 8:30 a.m.- 5:30 p.m. Monday through Friday. This is a full-time, 40-hour-per-week internship that will require onsite attendance in Washington, D.C.
The position does not have day-to-day supervisory/managerial responsibilities
Primary Duties/Responsibilities:
- Design and build rapid prototypes of AI-driven web applications to demonstrate feasibility and value
- Integrate AI tools and libraries into existing web application products by building dashboards, chatbots, or backend components
- Explore large language models and other tools for tasks like text generation, summarization, chat interfaces
- Connect web chat clients to internal data sources by customizing Model Context Protocol (MCP) configurations
- Evaluating the effectiveness and validity of ML product outputs (accuracy, precision, recall, etc.)
- Conduct research on foundational and emerging ML/NLP methodologies, and provide strategic guidance to the team on optimizing key configuration parameters—including vector similarity metrics, decoding strategies, embedding dimensionality, and tokenization limits for improved performance and scalability in applied AI systems.
- Performs other official duties as assigned.