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# AI Engineer

- **Company:** Nationale-Nederlanden
- **Location:** Zwolle, Netherlands
- **Experience:** Experienced
- **Salary:** €5,933.0 - €7,910.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Continuous Integration, Python (Programming Language), Machine Learning, Cloud Services, Secure Coding, Software Engineering, Data Logging, Delivery Pipeline, Large Language Models, Information Technology, Software Version Control
- **Published:** September 5, 2026
- **Apply:** https://www.careerjet.nl/job/nl0883fd641084538ce2ad1106d816f531/eaa

## About the Role

You have solid experience applying AI engineering or software engineering in a business environment. You are able to work independently on AI solutions, challenge assumptions and translate technical possibilities into practical solutions that create value.

 * You have a completed master's degree in a relevant field, such as computer science, artificial intelligence, data science or another quantitative discipline
 * You have 3 or more years of experience in AI engineering, software engineering, ML engineering or a closely related role
 * You are familiar with version control, cloud tooling, CI/CD, automated testing, release pipelines or software engineering principles and can apply them in day-to-day work
 * You understand how to bring AI solutions from prototype to a more stable setup together with data scientists, data engineers, cloud engineers or platform teams
 * You are able to explain technical concepts, choices and limitations clearly to both technical colleagues and business stakeholders
 * You are comfortable working in an agile environment and can adapt your approach based on changing priorities or new insights

## Description

* Translate business, user or organisational needs into practical AI solutions with a clear technical design, expected value and success criteria
 * Design, develop and maintain AI applications, APIs, services and reusable components using Python, cloud services and relevant AI techniques
 * Work on generative AI, LLM-based, RAG, document intelligence, agentic or decision-support solutions
 * Bring AI solutions from prototype to production-ready setups by applying CI/CD, automated testing, deployment pipelines, monitoring, logging, documentation and secure development practices
 * Contribute to reusable standards, templates, components or platform capabilities that help teams apply AI more effectively and consistently
 * Stay up to date with relevant AI engineering developments and assess which techniques are useful, realistic and responsible for NN


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