GenAI Engineer
GenAI Engineer
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€ 4 - 5
1 Vacancy
Job Description
Are you excited about building impactful AI solutions using the latest technologies and tools Join our AI Center of Excellence at Nationale-Nederlanden (NN) where we develop reusable AI assets collaborate across business units and drive strategic innovation. As an GenAI Engineer you will work in cross-functional squads 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 and implementing end-to-end AI solutions that address real business challenges. Your work will span from requirement definition to production deployment ensuring scalability security and performance. You will collaborate with data scientists engineers and business stakeholders to translate needs into AI applications.
Key responsibilities include:
- Develop scalable AI applications using agentic frameworks (e.g. Langchain Langgraph)
- Bring AI models to production in the form of APIs and integrate them into the NN landscape
- Collaborate with Data Scientists and Engineers to improve the Machine Learning Lifecycle
- Focus 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 4.092 and 5.846 based on a 36-hour workweek depending on your experience. Working 38 or 40 hours per week is also possible
- 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 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 and machine learning 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:
- Bachelors or Masters degree in Computer Science Engineering or related field
- 2 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
Who you will work with
You will be part of the AI Center of Excellence collaborating with Product Managers Data Scientists and Engineers in assetization squads. You will also engage with business unit teams and guilds to share knowledge and ensure scalable deployment 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 Hilde Diemel (Talent Acquisition Specialist) via .
Employment Type
Full-Time
