A 2027-graduate backend engineer role building Shopee's core search platform: developing query understanding, recall and ranking services, high-throughput indexing pipelines, and AI-driven agentic search (RAG, LLMs) using Go, C++, or Python in a distributed microservices environment.
Architect the Core: Participate in the design and development of Shopee's core search backend systems, ensuring they can iterate quickly to meet evolving business needs.
Optimize for Speed & Scale: Enhance the performance of our online search engines, including query understanding, recall, and ranking modules, as well as high-throughput data indexing pipelines.
Build Global Solutions: Contribute to developing reusable system components and microservices that power Shopee's centralized search platform across multiple markets.
Innovate & Apply: Stay ahead of industry trends in search engine technology and distributed systems, Work on Retrieval-Augmented Generation (RAG) applications and provide highly relevant, context-aware search results. Design and develop the backend infrastructure for Agentic Search, enabling complex reasoning and multi-step query processing at scale.
Requirements:
Bachelor's or Master's degree in Computer Science, AI, or a related field
Technical Foundation: Rock-solid understanding of data structures, algorithms, and distributed systems.
Coding Proficiency: Strong skills in Go, C++, or Python. (Experience with AI frameworks like PyTorch or LangChain is a plus but not required-we will teach you!).
AI Curiosity: A deep interest in how LLMs, Vector Search, and AI Agents are reshaping the software landscape.
System Mindset: You enjoy solving The Scale Problem-how to make complex AI reasoning happen in milliseconds for millions of concurrent users.
Soft Skills: Excellent problem-solving skills, a collaborative spirit, and a can-do attitude toward unexplored technical frontiers.