Regional Large Language Model (LLM) Agent & Prompt Engineering Intern (Spring 2027)

**Team Description:** The President’s Office supports the Group President in driving enterprise-wide productivity and long-term value creation. The team leads cross-functional efforts focused on operational efficiency and AI transformation, working closely with Regional and Local teams to identify strategic improvement levers, align initiatives across business units, and accelerate scalable impact. **Job Description:** * Proof-of-Concept development: Design and implement workplace-efficiency PoCs on our AI-agent platform. * Prompt engineering: Develop, test, and refine prompts to improve model accuracy and usability. * Python development: Write clean, maintainable Python code for PoC integrations, tooling, and dashboards. * Data structures & algorithms: Apply DSA principles to optimise code performance and model interactions. * Reg LLM report automation & generation: Build and maintain automated weekly/monthly performance reports and dashboards for leadership visibility. * Data accuracy & insights: validate key metrics, surface insights, and streamline reporting workflows. * Collaborate with product owners and end-users for rapid iteration and feedback loops. * Provide support on any other tasks assigned by the reporting manager. **Requirements:** * Currently pursuing a bachelor’s Degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or related disciplines. * Strong proficiency in Python; familiarity with LLMs, NLP libraries, and prompt-engineering techniques is a plus. * Demonstrated understanding of data structures and algorithms (coursework, projects, or competitions). * Experience with version control, REST APIs, or basic cloud services is advantageous. * Prefer full-time interns; outstanding part-time candidates (≥3 days/week) will be considered