GenAI Engineer - Assetization Team

NN Group is hiring a GenAI Engineer - Assetization Team in The Hague, Netherlands. Level rates it ; you can apply on NN Group.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
The posting mentions LangChain and LangGraph among its tools and skills.
Level classes it as a mid-level role.
NN Group has 180 other open roles on Level.
Posted in the last few days.

AI in this role

LangChainLangGraph

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 (e.g., Langchain, 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
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 pro-active 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 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 (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, reusable AI solutions with direct business impact

Who you will work with

You will be part of one of the Assetization Squad 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?

Any questions about the process can be directed to Liselotte van der Zeeuw, Talent Acquisition Specialist via email at liselotte.van.der.zeeuw1@nn-group.com.

How we rate this

GenAI Engineer - Assetization Team at NN Group rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

GenAI Engineer - Assetization Team is an open job at NN Group.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in The Hague.
The job was posted on November 5, 2026.
Seniority: mid.
Applications are handled by NN Group. Apply on NN Group

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

LangChainLangGraph

Questions you could be asked

What's a project where you used LangChain hands-on?
Walk me through how you've used LangGraph in your day-to-day work.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: LangChain and LangGraph. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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