Are you excited about building impactful AI solutions using the latest technologies and tools? Join the Asset Reuse Team (ART) within the AI Center of Excellence at Nationale Nederlanden (NN), where we build, maintain, and scale reusable AI assets, collaborate across business units, and drive strategic innovation. As a GenAI Engineer in ART, you will work in a cross-functional squad to deliver high-quality, production-ready AI components that power the NN AI asset marketplace and enhance customer services and operational efficiency.
What you are going to do
You will be responsible for designing, building, and maintaining reusable AI components and solutions that address real business challenges across NN. Your work will span from requirement definition to production deployment, ensuring scalability, security, and performance. You will collaborate closely with the ART product manager, tech lead, GenAI engineers, and business stakeholders to translate needs into robust, reusable AI assets.
Key responsibilities include:
Develop scalable AI applications using agentic frameworks (e.g., Langchain, Lang graph)
Bring AI models to production in the form of APIs and integrate them into the NN landscape
Collaborate with Data Scientists and Engineers to define the AI Asset Lifecycle
Set standards on CI/CD, testing, monitoring, and security compliance
Enhance platform performance through latency optimization and caching strategies
Support the team by promoting best practices, conducting code reviews, and maintaining documentation
Translate business requirements into AI solutions and present them to stakeholders
Continuously contribute to innovation initiatives and explore new technologies
What we offer you
NN invests in an inclusive, inspiring work environment and in skills and competences for the future. We match this with employee benefits that are in line with what is needed today and in the future. This way, we offer our employees the opportunity to get the best out of themselves. We offer you:
Salary between €4,527 and €6,036 based on 36 hours per week, depending on your knowledge and experience
13th month and holiday allowance are paid with your monthly salary
27 vacation days for a 5-day working week and 3 Diversity Days
A modern pension administered by BeFrank
Plenty of training and learning opportunities
NS Business Card 2nd class, which gives you unlimited travel, also privately. Do you prefer to travel with your own transport? Then you can declare the kilometers travelled
Allowances for setting up your home office and for internet use
Who you are
You are a versatile engineer with a strong background in software, DevOps and AI development. You thrive in a dynamic environment and enjoy sharing knowledge with others. Your curiosity and communication skills help you grow and support your team.
You bring the following qualifications and experience:
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
5+ years of experience in software or DevOps engineering and developing ML applications
Strong experience in Python, FastAPI, and asynchronous development
Experience with CI/CD, application security, and performance monitoring
Working knowledge of the data science process including data collection, cleaning, and model implementation
Experience with agentic frameworks for LLMs (Langchain & Langgraph)
Hands-on experience with Azure Cloud, Docker, and Kubernetes
Experience in developing automated APIs and cloud solutions using CI/CD tools, Git, and Terraform
Proven ability to independently deliver complex AI end-to-end solutions with direct business impact
You currently reside in the Netherlands
Who you will work with
You will be part of the Asset Reuse Team (ART) within the AI Center of Excellence, collaborating with Product Managers, Tech Leads, Data Scientists, and GenAI Engineers. You will also engage with business unit teams and guilds to share knowledge and ensure scalable deployment and reuse of AI assets. You will work closely with operational teams to ensure your solutions are adopted and deliver measurable impact across NN.
Any questions?
Any questions about the process can be directed to Liselotte van der Zeeuw (Talent Acquisition Specialist) via email at [email protected].
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 5+ years experience in software or DevOps engineering and developing ML applications
- Strong experience in Python, FastAPI, and asynchronous development
- Experience with CI/CD, application security, and performance monitoring
- Working knowledge of the data science process including data collection, cleaning, and model implementation
- Experience with agentic frameworks for LLMs (LangChain & LangGraph)
- Hands-on experience with Azure Cloud, Docker, and Kubernetes
- Experience developing automated APIs and cloud solutions using CI/CD tools, Git, and Terraform
- Proven ability to independently deliver complex AI end-to-end solutions with direct business impact
- You currently reside in the Netherlands
What We Do
NN Group is an international financial services company, active in 11 countries, with a strong presence in a number of European countries and Japan. Our roots lie in the Netherlands, with a rich history of more than 175 years. With our 16,000 employees, NN Group provides retirement services, pensions, insurance, banking and investments to approximately 19 million customers. NN Group includes Nationale-Nederlanden, NN, ABN AMRO Insurance, Movir, AZL, BeFrank, OHRA and Woonnu. NN Group opened for trading on 2 July 2014 on Euronext Amsterdam under the symbol ‘NN’ after its initial public offering (IPO). For more than 175 years, our company has merged, grown and changed, but the core of who we are has remained the same. At NN Group, we put our resources, expertise, and networks to use for the well-being of our customers, the advancement of our communities, the preservation of our planet, and for the promotion of a stable, inclusive, and sustainable economy. Our purpose is to help people care for what matters most to them. Because what matters to them matters to us.
