Regional Large Language Model (LLM) Agent & Prompt Engineering Intern (Fall 2026)

Responsibilities 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