Backend Engineer AI / Machine Learning (Agentic Systems)
ING Amsterdam, North Holland, Netherlands
Banking · 10,001+ employees
About the role
You will design and develop scalable backend services using Java and Python to support agentic AI systems. Additionally, you will integrate LLMs and AI models into workflows while ensuring production-ready reliability and observability.
What they look for
Requirements
The ideal candidate has experience building backend applications with Java (Spring Boot) and Python. You should also have a strong interest in AI technologies like LLMs, vector databases, and MLOps within a cloud-based environment.
Benefits
Full description
This position has been reopened. Original posting date: 27-02-2026
Are you excited by the idea of building intelligent systems that can reason, plan, and act autonomously? At ING, you’ll work at the forefront of Agentic AI — the next evolution of intelligent automation. This is your opportunity to help shape cutting‑edge AI capabilities and build backend systems that empower both our customers and colleagues. If you’re passionate about backend engineering and fascinated by AI-driven systems, this role is made for you.
The team
You will join a multidisciplinary, self-managing squad within ING’s Agentic AI initiative. Together, you design and build end-to-end solutions that have an immediate impact on ING’s digital platforms. The team embraces a strong engineering culture focused on innovation, craftsmanship, experimentation, and continuous learning.
You’ll collaborate closely with data scientists, ML engineers, and product experts to deliver AI-powered features that are scalable, robust, and safe — all within a culture that values openness, curiosity, and shared knowledge.
Roles and responsibilities
In this role, you will build and operate the backend foundation that enables ING’s next generation of agentic AI systems. Your responsibilities include:
- Designing and developing scalable backend services using Java and Python.
- Integrating LLMs and AI models into backend workflows to power autonomous behaviours.
- Ensuring systems are reliable, secure, compliant, and ready for production at enterprise scale.
- Collaborating with AI/ML experts to turn ideas into working, production-ready features.
- Implementing monitoring, observability, and continuous improvements for AI-driven systems.
- Working end to end within your squad, contributing from requirement refinement to production operations.
How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.
To succeed in this role, you bring:
- Experience building backend applications with Java (Spring Boot) and Python.
- Curiosity and affinity for working with LLMs, embeddings, or vector databases.
- Ability to work with Google Cloud Platform, CI/CD pipelines, and containerized environments.
- A strong interest in MLOps/LLM Ops and monitoring AI systems in production.
- A collaborative mindset, enabling smooth alignment with engineers, AI specialists, and product colleagues.
- Proficiency in English (Dutch is a plus).
Rewards and benefits We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.
The benefits of working with us at ING include:
- 25-28 vacation days depending on contract
- Pension scheme
- 13th month salary
- 8% Holiday payment
- Hybrid working
- Personal growth and challenging work with endless possibilities
- An informal working environment with innovative colleagues
About us Curious about how ING empowers people and businesses to move forward?
Discover what we do and what we can offer you.
Questions? Please visit our Frequently Asked Questions section to find some answers on questions you might have.
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.
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