Bachelor’s degree or above, preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields
6+ years of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities
Proficient in Java / Python, with solid coding skills, architectural thinking, and experience building complex systems
Strong understanding of LLM and AI Agent architectures, including task decomposition, tool use, context management, memory, execution loops, and exception handling
Hands-on experience with LangChain and LangGraph, and strong familiarity with mainstream AI coding tools or frameworks such as Claude Code, Codex, Cursor, and Copilot
Experience in designing or developing RAG / GraphRAG / knowledge graph solutions for enterprise knowledge augmentation and engineering use cases
Good understanding of DevOps, CI/CD, Kubernetes, and cloud-native technologies, with strong cross-functional collaboration and execution skills
Experience contributing to open-source projects related to AI Agents, AI Coding, RAG, or knowledge graphs
Experience building enterprise engineering platforms, DevOps platforms, or AI platforms
Familiarity with open-source Agent projects such as openclaw, openhands/openharness, or Hermes