Senior Backend Engineer - AI Infrastructure (Shopee Tech Services)

Job Description:

• Design and build Gateway Services with high performance and reliability
• Build foundational capabilities for AI agents - execution environments, tool infrastructure, memory and context services - for engineering teams to build their agents on
• Build technical products including unified data access layer, service frameworks, common libraries and practices for backend teams to accelerate the tech stack evolution towards a unified backend architecture
• Improve the efficiency, safety and reliability of agent execution: drive down token cost and latency, ensure isolation and controlled access to internal resources
• Create high-quality software development kits, explore innovative technologies and practices to improve engineering efficiency and development experience
• Collaborate with other Tech Teams to implement company-level solutions for analyzing and improving efficiency, scalability, and stability of various system resources and managing services sustainably

Requirements:

• Bachelor's or higher degree in Computer Science or related fields
• At least 2 years of relevant experience
• Passionate about coding and programming, innovation, and solving challenging problems
• Strong interest in the frontier of agent technology, with a habit of following how the field evolves and applying new developments in daily work
• Good understanding of AI and LLM-based agents, and hands-on use of AI coding agents in daily work - with a concrete view of where they work well and where they break down
• In-depth understanding of computer science fundamentals (data structures and algorithms, operating systems, networks, databases, etc)
• Strong and hands-on experience with at least one of the programming languages: Go, Python, C++, Java
• Strong logical thinking abilities

Skills below are optional but preferable

• Hands-on experience building LLM agents or agentic applications: tool calling, multi-step orchestration, context engineering
• Familiar with MCP (Model Context Protocol) or agent frameworks
• Experience with RAG and retrieval systems: embeddings, vector search, retrieval quality evaluation
• Familiar with Linux development environments and multi-threaded programming
• Familiar with common network protocols (TCP, UDP, and network programming
• Experience in server/web security
• Experience in design and development of large-scale distributed systems
• Hands-on experiences in Web Service frameworks and performance tuning of Web Server