AI Automation & Logistics Intelligence Associate

Shopee; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

Shopee in Singapore is seeking AI-savvy associates with strong Python skills to build automation and AI-powered tools using ChatGPT, Gemini, and related LLM platforms. The role focuses on turning large-scale operational data into actionable insights and scaling those insights into real operational actions.

Responsibilities include designing production-grade Python automation workflows, analyzing complex datasets, prototyping MVPs, and architecting prompt pipelines and AI agents integrated into

Qualifications

• Bachelor's degree completed or in progress with expected graduation by Aug 2027
• Master’s degree advantageous but not required
• Hands-on experience designing/building AI solutions with relevant tools
• Strong Python (automation, scripting, data pipelines) and SQL
• Ability to gather user insights and map processes into actionable recommendations
• Strong problem-structuring and analytical thinking
• Interest in supply chain management
• Familiarity with operations, logistics or execution-heavy environments

Responsibilities

• Design, build and implement production-grade Python automation and AI workflows.
• Process and analyse large operational datasets to surface actionable insights.
• Develop prototypes and MVPs from concept to scalable tools.
• Architect prompt pipelines, AI agents, and decision-support systems.
• Partner with operations and analytics to translate data into execution improvements.
• Stay current with AI tools and automation practices for e-commerce operations.

Skills

Python

SQL

LLM tools

Data analysis

Education

Bachelor's degree (any discipline)

Master’s degree advantageous

Tools

ChatGPT

Gemini

Claude

Job description

Shopee in Singapore is seeking AI-savvy associates with strong Python skills to build automation and AI-powered tools using ChatGPT, Gemini, and related LLM platforms. The role focuses on turning large-scale operational data into actionable insights and scaling those insights into real operational actions.

Responsibilities include designing production-grade Python automation workflows, analyzing complex datasets, prototyping MVPs, and architecting prompt pipelines and AI agents integrated into