7 days ago
Guangzhou, ChinaSenior
Responsibilities
- Own and drive frontend delivery for AI Platform web experiences, including requirements translation, scalable UI implementation, acceptance criteria, and release consistency.
- Define and improve frontend quality baselines, CI/CD quality gates, test coverage standards, accessibility measures, performance budgets, bundle-size thresholds, and release-readiness criteria.
- Design and implement frontend architecture, reusable component frameworks, state-management patterns, and REST/GraphQL integrations.
- Analyze rendering efficiency, bundle size, network usage, browser compatibility, and other frontend runtime behaviors to improve user experience and reliability.
- Establish frontend engineering standards, reusable patterns, code-review practices, testing conventions, and design-system alignment.
- Build AI platform UI capabilities integrating LLM services, model-serving APIs, orchestration workflows, retrieval/search, and other integration layers.
- Assess release risks and provide engineering insights for production readiness using monitoring signals, incident learnings, and continuous improvement actions.
Requirements
- 5+ years of experience building modern web applications with React and TypeScript, preferably for enterprise-scale or complex data-heavy platforms.
- 5+ years of strong engineering fundamentals in HTML5, CSS3, and modern JavaScript, including component design, state management, and asynchronous data flows.
- Hands-on experience delivering maintainable UI architecture and high-quality user experiences.
- Experience integrating frontend applications with REST and/or GraphQL backend services, including authentication and authorization, error handling, caching, and resilience patterns.
- Ability to apply AI-driven approaches and coding assistants to improve productivity, code quality, testing, debugging, and engineering practices.
- Preferred experience building frontend experiences for AI/ML platforms, including LLM services, GenAI applications, model-serving APIs, RAG workflows, vector search, and AI orchestration or agent tooling.
- Preferred understanding of AI-enabled UX and performance risks, including latency variation, streaming responses, long-running tasks, partial failures, timeouts, prompt workflows, and evaluation or feedback loops.
- Preferred experience with web observability and monitoring tools such as Grafana, AppDynamics, OpenTelemetry, and Real User Monitoring.
- Preferred experience with GCP, AWS, Azure, or private cloud environments and frontend deployment concerns involving CDN, caching, edge routing, and environment configuration.
- Knowledge of API gateways, OAuth/OIDC concepts, rate limiting, throttling, resilient request patterns, feature flags, configuration management, safe rollouts, release governance, and environment management.
- Experience building reusable component libraries or design systems, shared linting and build tooling, and quality dashboards.
- Relevant certifications or structured training in frontend engineering, cloud, DevOps, accessibility, or AI/ML/GenAI are advantageous.
Benefits
- Flexible working, continuous professional development, and opportunities for career growth within an inclusive and diverse workplace.
- HSBC is an equal opportunity employer and considers applications based on merit and suitability.
Tech Stack
Categories
About HSBC
Opening up a world of opportunity for our customers, investors, ourselves and the planet. We're a financial services organisation that serves more than 40 million customers, ranging from individual savers and investors to some of the world’s biggest companies and governments. Our network covers 58 countries and territories, and we’re here to use our unique expertise, capabilities, breadth and perspectives to open up a world of opportunity for our customers. HSBC is listed on the London, Hong Kong, New York, and Bermuda stock exchanges. To view our social media terms and conditions please visit the following webpage: http://www.hsbc.com/social-TandCs