GenAI Engineer – Assetization Squad, AI Center of Excellence
Are you excited about building impactful AI solutions using the latest technologies and tools? Join an Assetization Squad within the AI Center of Excellence at Nationale Nederlanden (NN), where we develop reusable AI assets, collaborate across business units, and drive strategic innovation. As a GenAI Engineer in an assetization squad, you will work in a cross-functional, agile team to deliver high-quality, production-ready AI applications that 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 other GenAI engineers, data scientists, product owners, and business stakeholders to translate needs into robust, reusable AI assets.
Key responsibilities include:
- Develop scalable, reusable AI applications and components using agentic frameworks such as Langchain and Langgraph
- Bring AI models to production as APIs and integrate them into the NN landscape
- Collaborate with Data Scientists, Engineers, and Product Managers to improve the Machine Learning Lifecycle and asset quality
- Focus on CI/CD, testing, monitoring, and security compliance for all squad deliverables. Enhance platform performance through latency optimization and caching strategies
- Support the squad by promoting best practices, conducting code reviews, and maintaining technical documentation
- Translate business requirements into reusable AI solutions and present them to stakeholders. Continuously contribute to innovation initiatives and explore new technologies for assetization and reuse
What we offer you
- Salary between €4.827 and €6.895 based on 36 hours, depending on your knowledge and experience
- 13th month and holiday allowance paid with your monthly salary
- 27 vacation days for a 5-day working week and 3 Diversity Day
- 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 proactive engineer with a strong background in software and machine learning development. You thrive in a dynamic, collaborative environment and enjoy sharing knowledge with others. Your curiosity and communication skills help you grow and support your team.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 2 to 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 such as Langchain and 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, reusable AI solutions with direct business impact
Who you will work with
You will be part of one of the Assetization Squads within the AI Center of Excellence, collaborating with Product Owners, 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.
Any questions?
If you have any questions about the job or the process, you can reach out to Liselotte van der Zeeuw – Senior Talent Acquisition Specialist Tech & Data via [email protected].
