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Job details
- Location
- Amsterdam, Hybrid
- Salary
- Not stated
- Language
- English
- Job type
- Internship
- Relocation
- Not mentioned
Source: ING, direct from their site.
About the role
As an intern, you will help design, build, evaluate, and scale AI-powered software engineering agents that support activities across the Software Development Lifecycle (SDLC). You will work on real-world engineering challenges and explore how Large Language Models (LLMs), Agentic AI, multi-agent systems, orchestration frameworks, and modern software engineering practices can improve productivity, quality, knowledge sharing, and software delivery.
What you will do
- Design AI agents across SDLC phases (Intake, Refinement, Design, Development, Testing, Deployment, Operations) that can be applied across a wide range of business and technology domains, to support developers, testers, BA’s and architects.
- Define agent responsibilities, inputs, outputs, guardrails, and evaluation criteria.
- Create prompt libraries, agent definitions, instructions, skills and reusable engineering workflows.
- Evaluate accuracy, consistency, and usefulness of agent outputs.
- Measure productivity and quality improvements.
- Support development of governance and responsible-AI practices for engineering agents.
- Present findings, demos, and recommendations to engineering teams and stakeholders.
- Work closely with engineers, architects, product owners, and engineering leaders.
- Participate in technical discussions, design reviews, and innovation initiatives.
What you get
- Hands-on experience building real AI solutions.
- Exposure to enterprise-scale software engineering and DevOps practices.
- Mentoring from engineers and engineering leaders.
- Opportunity to experiment, innovate, and build solutions that may be adopted by engineering teams.
- A collaborative, innovative, and learning-focused environment.
- Hybrid and international working environment.
- The chance to help shape how AI is used in software engineering, in a large international bank.
What you get
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:
You’ll also benefit from:
- Internship allowance of 700 EUR based on 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).
About the company
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.
The team
You will join the Engineering team within ING's Credit Risk domain, working on the modernization of business-critical applications and the adoption of AI-assisted software engineering practices.
How to succeed
- Currently pursuing a degree in Computer Science, Artificial Intelligence, Software Engineering, Information Technology, or a related field.
- Strong analytical and problem-solving skills.
- Passion for AI and modern software engineering.
- Excellent communication skills and attention to detail.
- Ability to work in a fast-paced, team-oriented environment.
- Affinity with any programming language (preferably Java), CI/CD, Docker and database concepts.
- Experience with GitHub Copilot (Agents, Skills, custom Instruction files) or comparable agentic coding tools and Model Context Protocol (MCP) is preferred.
- You are familiar with LLMs (e.g. Claude, Gemini, …), RAG systems, Prompt engineering, and other Agentic AI concepts, including multi‑agent systems and orchestration frameworks.
Hiring process
Please upload your CV and motivation letter by clicking the ‘Apply’ button.
Apply on ING's site
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