Job Description

Job Summary

Key Responsibilities

Accountable for making data "agent-ready" by aligning on data access and availability and implementing the core technical agent system stack.

• Design, build, and maintain robust data pipelines to feed real-time and batch data to the AI agents.
• Take a hands-on role in the technical implementation of the agent system, using the Google AI Development Kit (ADK) or similar frameworks, building and testing MCP in corporate environments in close collaboration with data system owners and data providers.
• Implement data-centric agent patterns and ensure seamless data integration between agents and the bank's existing systems.
• Conduct continuous testing of data integrations and pipelines throughout the development lifecycle, incorporating feedback to ensure data quality and reliability.

Skill Requirements

Experience: 5-7+ years as a Software Engineer or Data Engineer, with at least the last 2 years in hands-on AI/ML or data-intensive application development. Strong learner capability on new/further industry standard AI Agent frameworks. Handy on experience on designing, building and testing MCP in corporate environments.

Proven Track Record: Demonstrable success in building, testing, and deploying robust data pipelines and backend systems for complex applications.

Key Skills:

1. Expert, 100% hands-on capability with the Google AI Development Kit (ADK) or similar agentic Strong software and data engineering skills, including data modelling, API development, and MCP.
2. Solid understanding of the agent development lifecycle and experience implementing agent patterns.
3. Proven experience in testing data systems during development and iterating based on feedback.

Other Requirements

5-7+ years as a Software Engineer or Data Engineer, with at least the last 2 years in hands-on AI/ML or data-intensive application development.