Internship ING AI Engineering (AI)

Location: Hybrid, HBP (Amsterdam - Haarlerbergpark), Netherlands. During the internship, enrollment at a Dutch university is mandatory, or at an EU university for EU passport holders.

Internship allowance: €700 based on a 36-hour work week.

Company

hirify.global is part of ING, an international bank modernizing business-critical applications and adopting AI-assisted software engineering practices in its Credit Risk domain.

What you will do

• Design AI-powered agents for SDLC phases including intake, refinement, design, development, testing, deployment, and operations.
• Define agent responsibilities, inputs, outputs, guardrails, and evaluation criteria.
• Create prompt libraries, agent definitions, instructions, skills, and reusable engineering workflows.
• Evaluate agent accuracy, consistency, and usefulness, and measure productivity and quality improvements.
• Support governance and responsible-AI practices for engineering agents.
• Present findings, demos, and recommendations while collaborating with engineers, architects, product owners, and engineering leaders.

Requirements

• Currently pursuing a degree in Computer Science, Artificial Intelligence, Software Engineering, Information Technology, or a related field.
• Strong analytical and problem-solving skills, excellent communication skills, and attention to detail.
• Passion for AI and modern software engineering, with the ability to work in a fast-paced, team-oriented environment.
• Affinity with a programming language, preferably Java, as well as CI/CD, Docker, and database concepts.
• Familiarity with LLMs, RAG systems, prompt engineering, agentic AI concepts, multi-agent systems, and orchestration frameworks.
• Mandatory enrollment at a Dutch university, or at an EU university for EU passport holders, throughout the internship.

Nice to have

• Experience with GitHub Copilot Agents, Skills, custom instruction files, or comparable agentic coding tools.
• Experience with Model Context Protocol (MCP).

Culture & Benefits

• Hands-on experience building real AI solutions with 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.
• Collaborative, innovative, and learning-focused environment with informal working practices.
• Hybrid work combining home working for focus with office working for collaboration and co-creation.
• Work laptop, personal growth opportunities, and challenging work.

Hiring process

• Submit a CV and motivation letter through the application button.