Senior Agent & Prompt Engineer Executive - Operations, Marketplace

Shopee • Marketplaces • Commerce • Bachelor's Degree • Python • 1 day ago

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Salary

≈ $22k – $55k per year (Estimated)

Location

In office (Kuala Lumpur)

Seniority

Senior

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

Overview

Company

Impact

Profile match

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

As an Agent & Prompt Engineer, you will design, build, and own LLM-powered agents that run in production. Your responsibilities will include:
Build, maintain, and improve production AI chatbots and agents (e.g. the customer-service buyer bot), owning prompt design, tool/function-calling, and conversation flows
Translate business problems into agentic workflows - decompose tasks, wire up tools, APIs, and knowledge bases, and orchestrate multi-step agents
Run rapid prompt experiments and build evals; measure quality, iterate, and ship improvements
Integrate LLM agents into existing operational workflows (support, fraud review, reporting) to automate manual work
Partner with PM, data, and ops stakeholders to scope use cases, prototype POCs, and move winners into production
Monitor live agents, debug failures, and continuously raise reliability and guardrails

Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related field - or equivalent demonstrated ability
Hands-on experience building with LLM APIs: prompt engineering, tool/function-calling, RAG, or agent frameworks
Proficient in Python and comfortable working with APIs to build and ship integrations end-to-end
Proven ability to ship - production work, hackathon wins, or personal builds (please share GitHub, demos, or write-ups)
AI-native mindset: fluent with modern AI tooling and fast at turning ideas into working prototypes
Bias for action, comfort with ambiguity, and clear communication
Nice to have: experience with chatbots / CS automation, eval frameworks, or fraud/risk workflows

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