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
