Key Skills

Job Description

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. The team The Analytics Engineering Center of Excellence team, with over 100 members and expanding, aims to make ING data-driven by leveraging Data and Analytics to deliver impactful solutions. We foster a collaborative and creative work environment focused on supporting our people and projects. Key Responsibilities 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 Qualifications Currently pursuing a degree in Computer Science, Artificial Intelligence, Mathematics, or a related field. Strong analytical and quantitative skills. Basic knowledge of Python programming. Interest in data and AI engineering. Excellent communication skills and attention to detail. Ability to work in a fast-paced, team-oriented environment. What We Offer A dynamic and international environment. As part of the Data & Analytics Engineering team, you will collaborate within a cross-functional group responsible for end-to-end delivery and ownership, contributing in an Agile manner throughout the application lifecycle. Hands-on experience in data & AI engineering in our global analytics department. Exposure to senior professionals and industry leaders. Introduction to data engineering concepts and latest technologies in GCP. Rewards And Benefits This is a great opportunity to train with highly skilled people who are experts in their field. You’ll do a lot and learn a lot – not only about your specialist area and the bank, but also about yourself and whether this type of environment is right for you. You’ll Also Benefit From Internship allowance of 700 EUR based on a 36 hours work week Your own work laptop Hybrid working to blend home working for focus and office working for collaboration and co-creation Personal growth and challenging work with endless possibilities An informal working environment with innovative colleagues During the duration of your internship at ING, it is mandatory to be enrolled at a Dutch university (or EU-university for EU passport holders). Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button. About Our Internships Every year, more than 350 students join our internship program. While there are no guarantees about your future, many of our former interns move into a permanent role or onto our International Talent Programme (traineeship). Whatever happens, an internship at ING is the ideal opportunity to meet a wide variety of people, to build up your own network, and to learn about many different aspects of banking – put simply, it’s a great start to your career.

Core Responsibilities

Design and build standardized tools and frameworks for agentic AI projects, including repository scaffolding, coding standards, pre-commit hooks, and CI/CD pipelines for ING’s GCP platform. Develop an extensible metrics collection and reporting package for agent performance in BigQuery, contribute as an AI engineer to an agentic AI initiative, and participate in technical demos and knowledge-sharing sessions.

Requirements

Applicants must be pursuing a degree in Computer Science, Artificial Intelligence, Mathematics, or a related field, and have basic Python knowledge, strong analytical and quantitative skills, and an interest in data and AI engineering. Excellent communication, attention to detail, and the ability to work in a fast-paced, team-oriented environment are also required; interns must remain enrolled at a Dutch university, or an EU university if they hold an EU passport.

Benefits

• Internship Allowance
• Work Laptop
• Hybrid Working
• Personal Growth Opportunities
• Challenging Work
• Informal Work Environment
• Exposure to Senior Professionals and Industry Leaders
• Hands-On Experience in Data and AI Engineering