Regional Large Language Model (LLM) Agent & Prompt Engineering Intern (President's Office)

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

Candidate 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