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

Shopee • Commerce • Bachelor's Degree • Python • 1 day ago
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Salary
≈ $85k – $227k per year (Estimated)
Location
In office (Singapore)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Sep 24, 2026.

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Shopee

Shopee is a multinational technology company and e-commerce marketplace platform operating as a subsidiary of Sea Limited. The company provides a hybrid B2C and C2C digital marketplace offering retail products, integrated digital payments and financial services via ShopeePay/SeaMoney, and end-to-end logistics and fulfillment solutions through SPX Express. Headquartered in Singapore, the platform serves millions of consumers and merchant partners across Southeast Asia, Taiwan, and Latin America.
shopee.com • HQ: Singapore • Commerce • 1001-5000 employees • Est. 2015
  • 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.
  • 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
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