位于广州市的 20 个优质risk management职位（正在招聘！）

Design and develop LLM-based applications for banking and internal business use cases. Build and maintain AI pipelines such as prompt-based workflows, Agents, retrieval-augmented generation (RAG), and document intelligence solutions.
Integrate AI services with internal systems, APIs, databases, and business platforms.
Improve model performance through prompt design, testing, evaluation, tuning, and optimization.
Support production deployment of AI services with attention to scalability, monitoring, resilience, and cost control.
Work with business and technology stakeholders to understand requirements and deliver practical AI solutions. Establish testing and evaluation approaches to measure accuracy, reliability, and business value of AI outputs.
Ensure solutions align with banking requirements for data privacy, information security, model governance, and regulatory compliance.
Troubleshoot production issues and continuously improve AI solution quality and operational stability. Evaluate emerging GenAI frameworks, conduct feasibility assessments, and drive adoption proposals

Qualifications：

Bachelor’s degree or above in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.
Solid experience in software engineering, machine learning, and AI engineering, with hands-on experience in large language model solutions.
Strong programming skills in Python and experience building enterprise-grade applications and APIs.
Good understanding of LLM concepts, agents, prompt engineering, embeddings, vector search, RAG, and model evaluation.
Experience with AI/ML frameworks and platforms such as PyTorch, Hugging Face, LangChain, LlamaIndex, OpenAI, Azure OpenAI, or similar tools.
Familiarity with Linux, Git, cloud platforms and modern engineering practices including CI/CD, Docker, and service deployment.
Understanding of system design, performance optimization, monitoring, and production support.
Good awareness of data security, privacy, model risk, and governance requirements, especially in a banking or regulated environment.

What additional skills will be good to have?

Strong analytical/problem-solving capability; able to decompose complex operational processes into AI components.
Strong communication and stakeholder management skills, with the ability to work across business and technology teams.
Experience in banking, financial services, or other regulated industries is preferred.
Experience in Intelligent Document handling such as text, image/pdf, excel/csv/doc data processing is preferred.

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. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

***Issued By HSBC Software Development (GuangDong) Limited***

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