Senior Backend Engineer - AI Infrastructure (Shopee Tech Services)
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Summary
Senior backend engineer building gateway services and foundational AI-agent infrastructure (execution environments, tool/memory/context services, SDKs) on Shopee's platform, while driving down agent token cost and latency and hardening isolation and reliability. Core stack: Go/Python/C++/Java with LLM-agent, RAG, and large-scale distributed systems work.
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, HTTP) 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
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, HTTP) 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