Lead Engineer, AI Agent Systems
PatSnapIP & company
Shanghai, ChinaLead
SoftBank Vision Fund 2
Summit Partners
Tencent Investment
Sequoia China
Vertex Ventures
Shunwei Capital
Software Engineering
About the role
TL;DR
Lead the architecture and development of AI agent systems, ensuring reliability and extensibility.
- •Lead the architecture and evolution of next-generation AI agent infrastructure designed for complex, knowledge-intensive work.
- •Ensure high availability, reliability, and long-term extensibility in environments with a low tolerance for hallucinations and incorrect outputs.
- •Key Responsibilities Lead the architecture and evolution of agent infrastructure across execution engine, context/reasoning orchestration, and capability foundation.
- •Design and implement the Agent Loop runtime, middleware pipelines, and orchestration of planning/sub-agent workflows.
- •Develop foundational agent capabilities including sandboxed environments, memory stores, and retrieval systems.
- •Remain hands-on, contributing code to critical platform modules and guiding the engineering team.
- •Requirements At least five years of professional software engineering experience, with proven leadership in complex systems.
- •Strong Python software engineering skills and experience with distributed systems and production architecture.
- •Substantial hands-on engineering experience with Agent and LLM systems, with deep expertise in execution engine, context/reasoning orchestration, or agent capability foundation.
- •Experience leading an engineering team of at least three people.
Required skills
PythonDockerKubernetesLangChainLLMsMicroservicesCI/CDTechnical Leadership
Nice-to-have skills
OpenAI APIAnthropic APIGemini API
Domain expertise
aiproductivity
Tech stack
PythonDockerKubernetesOpenAI APILangChain