Engineering Lead

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.