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.
Bachelors or Masters 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 .
Required Experience:
IC
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 E...
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.
Bachelors or Masters 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 .
Required Experience:
IC
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