Senior Gen AI ML Engineer

The Hague - Netherlands

Monthly Salary: € 5 - 7

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

Within the Data Office we have a team responsible for building impactful AI solutions. With these AI solutions we help Schade &Inkomento digitize important processes. As a Gen AI ML Engineer your main goal is to design build andmaintainorchestration components that enable advanced AI and agentic solutions.You will be at the core of how AI productsoperate connecting models data pipelines and business processes through robust orchestration logic.

Youllwork closely with Data Scientists Software Engineers and Product Managers to deliver scalable reliable AI systems that integrate seamlessly with NNs enterprise platforms and deliverreal businessimpact (e.g. claims automation underwriting assistants or customer contact optimization).

What are you going to do

When a claim or customer question arrives you orchestrate its journeyend-to-end: which model to invoke when to pause for a human check and how outcomes flow back into our core systems. You translate business rules into resilient AI workflows on orchestration platforms (and where it fits Argo or Celery) stitching together modular containerized pipelines for training inference and monitoring. Side by side with our data scientists you turnsolutions intoproduction: co designing interfaces and SLAs building evaluation and feedback loops and packaging models as reusable versionedFastAPIservices and shared librarieswith tests docs and CI/CD templatesso the next use case ships faster.

You build and run the service layer that connects everything: Python/FastAPIAPIs with clean contracts messaging to keep systems decoupled and responsive and robust observability so every step is traceable. You tune for scale and reliabilitywhetheritslarge model inference document processingRAG/vector searchcontainerizing on Docker/Kubernetes and deploying to Azure (and where relevant AWS). Together with platform engineers you applyMLOps/DevOps best practices (versioning automated testing CI/CD with Azure DevOps/GitHub infrastructure as code) and embed security and compliance from day one: encryption audit logs model/version governance threat modeling and guardrails aligned with GDPR and the AI Act.

And youbuild forreuse and impact: standardizing components to NNs engineering and risk standards contributing orchestration assets to our internal AI marketplace and shaping patterns the wider guild adopts. The result is a joint effort that turns ideas into dependable AI productsstreamlining claimssupporting underwriting decisions and improving customer contactrunning smoothly across NNs enterprise landscape.

What we offer you
NN invests in an inclusive inspiring work environment and in skills and competences for the future. We match this withemployee benefitsthat 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 between5.362 and 7.661depending 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 one Diversity Day

A modern pension administered byBeFrank

Plenty of training and learning opportunities

NS Business Card 2nd class which gives you unlimited travel also privately. Do you prefer to travelwithyour own transport Then you can declare thekilometrestravelled

Allowances for setting up your home office and for internet use

Weworkhybrid at NN. Together with your team you decide wherehowand when you work. The official location of this job is The Hague.

Whoyou are

You are a pragmatic engineer who enjoys building reliable systems that make AI usable for the business. You combine an engineering mindset with a product orientation and you communicate clearly with both technical and non-technical stakeholders. Additionally you have:

5 years of experience in backend or ML engineering for AI/ML or data intensive applications.

Strongproficiencyin PythonFastAPI and RESTful API design.

Deep understanding of orchestration tools such asArgo Workflows CeleryAirflow or .

Experience with containerization and cloud (Docker/Kubernetes; primarily Azure; AWS experience is a plus).

Proven experience designing data and compute heavy backends supporting ML training and inference workflows; familiarity with messaging/streaming (Azure Service Bus Kafka or SQS).

Knowledge of ML pipeline orchestration data engineering concepts andDevOpsbest practices (testing modularity version control CI/CD with Azure DevOps/GitHub).

Familiarity with GenAI applications (RAG vector stores such as Azure AI Search orpgvector prompt patterns caching) and with AI risk/monitoring frameworks is a plus.

Who you will work with
The team you work withdailyconsists of a group of data scientists and software engineers and a program manager who frames our activities. Together with these colleagues we work daily with great enthusiasm and dedication tooptimizeand innovate customer service processes and quality in close collaboration with the operational teams.

Additionally you are a member of a guild where you exchange knowledge and experiences with peers. We believe that every engineer can learn something frompeersand vice versa can teach something to others in the community. This way you accelerate your career and deliver maximum value with our AI solutions.

Any questions

If you have any questions about the job you can reach out via email to Joost Stroes (Recruiter) -

This is a permanent position. A candidate will receive a contract fromNNand we are not open to interim/freelance assignments and/or candidates or recruitment agencies. Thank you very much for your understanding.

Required Experience:

Senior IC