Engineering Lead

Finance · Guangzhou, Guangdong We are currently seeking an experienced professional to join our team in the role of Engineering Lead. Principal responsibilities: 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. Embed AI-native capabilities into engineering workflows, such as AI coding, technical solution generation, test case generation, test report generation, and automated environment setup/orchestration. Design, integrate, and apply enterprise knowledge enhancement capabilities, including RAG (Retrieval-Augmented Generation), GraphRAG, and knowledge graphs. Establish AI agent runtime and governance frameworks, including isolation and sandboxing, access control and permissioning, auditability and traceability, evaluation and quality measurement, stability, reliability, and cost management. Partner with Product, Engineering, QA, Operations, and platform teams to standardise and productionise platform capabilities, improving delivery quality and engineering efficiency. Requirements: 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. Strong ability to design and evolve complex systems with a focus on scalability, maintainability, and performance. 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. Knowledge & Retrieval Engineering (Strong Plus): Hands-on experience designing and implementing enterprise RAG, GraphRAG, or knowledge graph solutions for real application scenarios. Platform & Cloud Engineering (Strong Plus): Strong DevOps mindset; experience with DevOps practices, CI/CD, Kubernetes, and cloud-native technologies. Ability to drive cross-team execution and deliver outcomes in production environments. You’ll achieve more when you join HSBC. HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count.