AI Systems Developer

Applicants will be considered based on their knowledge, skills or abilities related to project needs. Specifically, applicants should: Familiarity with AI/GPT technologies and prompt engineering Basic understanding of database design, query systems, and data structures Strong analytical and problem-solving skills Excellent written communication and technical writing abilities Interest in government operations, security logistics, and automation Familiarity with data analysis tools (Excel, SQL, Python, or R) is a plus but not required Make an impact while you learn. The Semester of Service Program offers students a volunteer project-based opportunity to support Federal missions, gaining hands-on experience & valuable career-ready skills. Students must be enrolled at least half-time in an accredited trade school, technical or vocational institute, junior college, college, university, or other accredited educational institution, & participation must be with the permission of the institution at which the student is enrolled.

• This vacancy announcement will be open from May 11, 2026 to May 15, 2026 or when 25 applications have been received. The vacancy will close on whichever day the first of these conditions are met. If the application limit is reached on the same day the announcement opened, the open and close date will be the same. Candidates are encouraged to read the entire announcement before submitting their application packages. The Field Support Branch (FSB) seeks a student volunteer to develop a custom GPT-powered query database system that transforms how our team accesses and analyzes logistics and operational data. This project focuses on creating intelligent AI agents (CustomGPTs) within the StateChat platform to automate database queries, generate inventory reports, and provide rapid access to critical information across multiple data sources. Working alongside the StateChat team, the student will design and implement AI-powered solutions that enhance logistics integration and operational efficiency. Key Learning Objectives Students will: • Design and deploy custom AI agents using prompt engineering and configuration best practices • Create a structured query database that integrates with existing FSB logistics systems • Develop user-friendly prompts, conversation guides, and query templates for common FSB operational needs (e.g., inventory by location, equipment status, supply chain metrics) • Integrate multiple data sources and tools into cohesive query systems • Implement proper citation systems, conversation retention policies, and security protocols • Document system architecture, agent configurations, capabilities, and usage guidelines • Test and refine AI agent performance based on user feedback and operational requirements • Ensure the system aligns with Department security protocols and data handling requirements • Present findings and deliver final working agents with complete documentation package Student Responsibilities: • Build and configure CustomGPT agents following Department protocols and StateChat guidelines • Design query logic and retrieval strategies for FSB logistics databases • Develop templates and formatting standards for consistent, reliable outputs • Create comprehensive user documentation and training materials for FSB personnel • Conduct testing cycles to validate accuracy, reliability, and security compliance • Maintain engineering documentation throughout the term • Participate in weekly check-ins, midpoint review, and final project presentation • Deliver a functional prototype and complete documentation package