Engineering Intern - Agentic AI domain

As an intern in our Agentic AI team, you will support ING Analytics department with standardizing the technical setup of our Gen-AI and agentic AI use cases. The aim of this graduate internship is to create standardized tools and frameworks for Agentic AI development to ensure repo standards, best practices, and consistent tooling and metrics across teams. 

Repo Standardisation: To improve lead time of setting up an agentic project, you help design and build repo standardisation framework and tools for agentic projects in ING. You research how teams currently work and which components are needed. Inspired by tools like google’s agents-cli, you propose and implement a framework/tooling to quickly scaffold agentic project repositories that is adapted to ING specific standards and components. You make sure this enables a consistent repo structure across teams, and pre-commit hooks to help teams follow standards. You include the necessary CI/CD pipelines for linting, formatting, testing, and deploying the solution to ING’s GCP platform. The framework can then be extended to includes agent design patterns, connections setup (e.g. kafka, api’s), infrastructure code (Terraform), testing, evaluation frameworks. 

Metrics Framework Development: As agentic AI systems become more prevalent in production environments, the need for standardized observability and performance tracking has become critical. Currently, each project implements its own custom metrics collection, leading to duplicationand inconsistency. You help design and implement a standardized metrics collection and reporting package for agentic AI projects, enabling teams to capture, analyze, and visualize agent performance data in BigQuery. The framework should provide instrumentation for common agent patterns while remaining extensible for project-specific metrics. 

AI Engineering: You will work as an AI engineer in one of ING’s agentic AI initiatives. 

• Demo & Presentation: Participate in technical demos, knowledge sharing sessions and chapter-meetings for ING’s Data&AI engineering teams