Senior Backend Engineer - AI Infrastructure (Shopee Tech Services) at Shopee – Singapore | Jobyssey

The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.

About the Team:

As a Tech Platform team, the Shopee Tech Services team supports Shopee’s business growth by providing reliable and sustainable technical products and solutions. The team builds common services, frameworks, libraries and practices that promote the unification of backend architecture, improve engineering efficiency and ensure that the development for all shopee backend services are smooth, stable and aligned.

The team is also extending this scope to AI agents, which are becoming a common engineering workload. We build the foundational capabilities agents run on — execution environments, tool access, memory and context services, and the harness around them — so that engineering teams can build and operate agents on a common and reliable foundation.

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

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