Requirements

Expected technologies

Git

Jenkins

Python

Our requirements

• Proficiency in Python and experience working in Unix/Linux environments (on-premises).
• Experience working with time-series or analytics databases, such as Elasticsearch.
• Familiarity with Microsoft Azure Cloud services and infrastructure.
• Experience building RESTful APIs using Python FastAPI.
• Knowledge of Generative AI APIs and their integration.
• Experience designing data models and building pipelines to source databases for Retrieval-Augmented Generation.
• Ability to design and deploy scalable microservices.
• Experience using Git and GitHub and deploying with industry-standard tools such as Ansible and Jenkins.

Your responsibilities

• Build agents that source data from various systems and deliver it to Retrieval-Augmented Generation (RAG) models.
• Design and implement data transfer pipelines that support scalable AI solutions.
• Develop and maintain microservices that integrate with the broader Generative AI architecture.
• Collaborate with colleagues across engineering and data science to deliver high-impact AI use cases.
• Contribute to secure, ethical and efficient data integration aligned with HSBC AI practices.
• Participate in continuous improvement efforts and adapt to changing project needs.