GenAI Engineer - Asset Reuse Team

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Design and deliver Generative AI solutions that increase reuse of internal assets, accelerate delivery, and improve knowledge discovery through reliable, scalable AI systems.

Build and deploy GenAI applications that enable asset search, recommendation, summarization, and reuse workflows.

Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, embeddings, and vector search for high-precision retrieval.

Integrate LLM capabilities into existing platforms via APIs, services, and automation.

Implement evaluation frameworks for quality, safety, latency, and cost; iterate using measurable metrics.

Collaborate with product, engineering, and domain teams to translate reuse needs into AI features and roadmaps.

Ensure responsible AI practices, including data privacy, access controls, and prompt/response governance.

GenAI/LLM engineering: prompt design, tool/function calling, agent patterns, fine-tuning or adapters.

RAG stack: chunking strategies, reranking, vector databases, hybrid search, citation/grounding.

Software engineering: Python and/or TypeScript, API design, testing, CI/CD, observability.

Data & platforms: ETL pipelines, document processing, cloud services, containers, security basics.

Communication: clear documentation, stakeholder alignment, and cross-functional delivery.

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.

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.

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

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.

Salary between €5,339 and €7,119 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 Day

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

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 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 about the process can be directed to Liselotte van der Zeeuw, Talent Acquisition Specialist via email at [email protected] .

Bij NN geloven we dat onze kracht ligt in het omarmen van de volledige diversiteit van de mensheid. We erkennen en waarderen ieders uniciteit en bijdrage, wat ons in staat stelt om te groeien: als individu, als team en als organisatie.

Diversiteit, Gelijkheid en Inclusie zijn verankerd in onze cultuur, die wordt geleid door onze kernwaarden: care, clear en commit. Deze waarden helpen ons om een werkomgeving te creëren waarin iedereen zich welkom, gerespecteerd en trots voelt om deel van uit te maken.

Please send your application for GenAI Engineer - Asset Reuse Team at NN in Den Haag via the button.

Neem contact op met Liselotte van der Zeeuw

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