AI Agent Development Engineer (LLM)
About the role
Lead the architectural design, development, and end-to-end performance optimization of enterprise-grade AI Agent systems as a core team member, ensuring reliable delivery under high-concurrency scenarios.
Key responsibilities
Lead the architectural design, development, and end-to-end performance optimization of enterprise-grade AI Agent systems as a core team member, ensuring reliable delivery under high-concurrency scenarios.
Implement modules such as RAG, tool calling, and multi-agent collaboration for complex business scenarios, and package standardized AI components to accelerate product iterations.
Proactively explore emerging Agent technologies to maintain a competitive edge in the Agent development platform.
Drive advancements in Agent context engineering, high-performance execution, optimization, and self-evolution, while building benchmark Agents.
About you
Master's degree or above in Computer Science or related fields, with 3+ years of engineering experience in at least one of Python, TypeScript, Java, or C/C++.
Deep involvement in enterprise-level Agentic AI projects, with solid knowledge of Agent-related technologies such as Agent Harness and Agent Loop.
In-depth understanding of the design philosophy behind at least one mainstream Agent product (e.g., LangChain, Dify, Openclaw, Hermes), with practical experience in cutting-edge Agent technologies.
Active open-source community contributors are preferred.
Interested candidates please submit your resume angelcd.choong@hrnetone.com
Angel Choong
R21102884