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

Shopee; Singapore; On-site; SGD 20,000 - 31,000; Full time

Job summary

Shopee is seeking a motivated intern for its President’s Office to drive productivity through AI-enabled solutions in Singapore. You will design PoCs on an AI-agent platform, engineer prompts for higher model accuracy, and write robust Python code for integrations and dashboards.

Ideal candidates are pursuing a relevant degree, with strong Python skills and familiarity with LLMs/NLP. You will collaborate with product owners for rapid iteration and gain exposure to leadership dashboards and

Qualifications

• Currently pursuing a bachelor's degree in Computer Science, Information Systems, Data Science, AI, 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.

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.

Skills

Python

Data structures & algorithms

Prompt engineering

REST APIs

Version control

Education

Pursuing Bachelor'sdegree in Computer Science / Information Systems / Data Science / AI

Tools

LLMs

NLP libraries

Cloud basics

Job 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