AI Engineering Intern: Agentic AI for SDLC

ing; Amsterdam; Hybrid; EUR 7,100 - 8,500; Part time

Benefits offered by this job

Internship allowance 700 EUR

Work laptop

Hybrid working

Mentoring from engineers

International environment

Job summary

ING is offering an internship in AI-powered software engineering within the Credit Risk domain. You will design, build, evaluate, and scale agents across the software development lifecycle to support developers, testers, BAs and architects.

You will collaborate with engineers, architects, product owners and leaders, applying modern AI practices, MLP frameworks, and orchestration tools while gaining hands-on experience in enterprise-scale DevOps.

Qualifications

• Currently pursuing a degree in Computer Science, AI, Software Engineering, Information Technology, or 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 Java, CI/CD, Docker and database concepts.
• Experience with GitHub Copilot (Agents, Skills, custom Instruction files) or comparable agentic coding tools and 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.

Responsibilities

• Design AI agents across SDLC phases to support developers, testers, BAs and architects.
• Define agent responsibilities, inputs, outputs, guardrails, and evaluation criteria.
• Create prompt libraries, agent definitions, instructions, skills and reusable workflows.
• Evaluate accuracy, consistency, and usefulness of agent outputs.
• Measure productivity and quality improvements.
• Support 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.

Skills

Analytical thinking

Problem-solving

Communication skills

Teamwork

Java (preferred)

CI/CD

Docker

Database concepts

LLMs familiarity

Multi-agent systems

Education

Bachelor's or current degree in Computer Science / AI / Software Engineering / IT

Tools

GitHub Copilot

MCP (Model Context Protocol)

Java (preferred)

Docker

Job description

ING is offering an internship in AI-powered software engineering within the Credit Risk domain. You will design, build, evaluate, and scale agents across the software development lifecycle to support developers, testers, BAs and architects.

You will collaborate with engineers, architects, product owners and leaders, applying modern AI practices, MLP frameworks, and orchestration tools while gaining hands-on experience in enterprise-scale DevOps.