Engineering Lead

Platform architecture & core capability design Lead overall architecture design and core capability development for an AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration. Establish AI agent runtime and governance frameworks, including: Partner with Product, Engineering, QA, Operations, and platform teams to standardise and productionise platform capabilities, improving delivery quality and engineering efficiency. RAG (Retrieval-Augmented Generation) GraphRAG Knowledge graphs (design, integration, and application) Bachelor's degree or above (preferred majors: Computer Science, Software Engineering, AI, or related fields). * 8+ years in backend/platform engineering, architecture, or similar enterprise-scale delivery roles. Recent 3 years, working in a commercial environment to deliver AI related production Proficient in Java/Python with strong coding fundamentals and architectural judgment; hands-on experience delivering complex systems. Deep understanding of LLMs and agent architectures, including: Task decomposition & planning Tool use / function calling patterns Context and session management Memory design Execution loops and exception handling Practical experience with LangChain and/or LangGraph (or equivalent orchestration frameworks). Familiarity with mainstream AI coding and developer tools (examples: Claude Code, Codex, Cursor, Copilot or equvlenece). Hands-on experience designing and implementing enterprise RAG, GraphRAG, or knowledge graph solutions for real application scenarios. Ability to drive cross-team execution and deliver outcomes in production environments.