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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Koninklijke KPN N.V. - **Location:** Amsterdam, Netherlands (Remote available) - **Experience:** Expert - **Salary:** €5,547.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Performance Management, User Authentication, Microsoft Azure, Cloud Computing, Cloud Engineering, Code Review, Continuous Delivery, Continuous Integration, Python (Programming Language), Machine Learning, OAuth, Open Source Technology, Queueing Systems, Release Management, Azure Active Directory, Search Technologies, Software Construction, Software Engineering, Data Streaming, WebSocket, Cloud Monitoring, Large Language Models, Grafana, Generative AI, Event Driven Architecture, Containerization, Kubernetes, Information Technology, Optimization Algorithms, Deployment Automation, Bicep, Data Management, Dataiku, Api Design, Software Coding, Restful APIs, Terraform, Software Version Control, Api Management, Docker - **Published:** July 19, 2026 - **Apply:** https://www.nationalevacaturebank.nl/vacature/db6bb8a6-1f4c-4584-99a7-fabf8e180b6f/ai-engineer ## About the Role + At least 5 years of experience as an AI/ML Engineer, Cloud Engineer, or similar role + Master's degree in a quantitative domain, such as Computer Science, Software Engineering, Data Science, or related field + Strong proficiency in Python for developing GenAI applications and automation + Solid experience with Azure cloud services. + Expertise in Infrastructure-as-Code (Terraform, Bicep, or ARM templates) + Experience building production-grade GenAI applications. + Knowledge of vector databases (Azure AI Search) + Experience with containerization and orchestration (Docker, Kubernetes/AKS) + Deep knowledge of Azure DevOps for CI/CD pipelines, version control, and release management + Excellent understanding of software engineering best practices including coding standards, code reviews, testing, security, and observability Nice to ho have to be a success in this role: + Hands-on experience deploying and managing multiple LLM providers (OpenAI, Anthropic Claude, Azure OpenAI, open-source models) + Experience with LLM Gateway patterns and API management at scale + Familiarity with API design patterns (REST, streaming, WebSocket's) and asynchronous processing (message queues, event-driven architectures) + Understanding of AI governance, monitoring, and observability tools (e.g. Azure Monitor, Application Insights, Dataiku, LangSmith, or Openlayer) + Working knowledge of LangChain and other GenAI orchestration frameworks + Knowledge of semantic caching and optimization techniques for LLM applications + Experience with authentication and authorization patterns (OAuth2, API keys, Azure AD) ## Description Ben jij een Senior Machine Learning Engineer met interesse in het bouwen van Generative AI-oplossingen? Dan biedt deze rol bij KPN jou de kans om jouw AI-engineeringvaardigheden in te zetten binnen een AI-expertiseteam van Data Scientists en Machine Learning Engineers. In ons team werken we samen aan het verkennen, ontwikkelen en toepassen van de nieuwste (Gen)AI-technologieën. Je komt terecht in een jong, dynamisch team binnen het AI Excellence Center in Amsterdam, waar hybride werken, samenwerking en groeimogelijkheden centraal staan. Klaar om jouw carrière naar een hoger niveau te tillen? Your role as AI Engineer - Cloud In this role, you're the driving force behind developing reusable building blocks for the whole company to build their GenAI use cases. You'll leverage the Azure cloud technology stack and cutting-edge tools to design and implement solutions that are scalable, reliable, secure, and production ready. Your key focus will be on: + Developing and maintaining our central GenAI Gateway (LLM Gateway) on Azure, integrating both OpenAI and non-OpenAI models (Anthropic, Mistral, Llama, etc.) + Managing the complete lifecycle of LLM deployed models. + Implementing CI/CD pipelines using Azure DevOps for automated deployments and testing. + Defining priorities and influencing the GenAI Lab roadmap. + Operationalizing and integrating AI capabilities into business processes, IT systems, and data platforms. + Collaborating continuously with team members, domain experts, and business stakeholders to refine and implement the most effective solutions. This is your team You'll join as an AI (Platform) Engineer in the young, enthusiastic Data Science Lab team within the AI Excellence Center of 30+ highly skilled and energetic colleagues. As part of the AI community, you'll work closely with various specialists, including business stakeholders, domain experts, data engineers, software engineers, mathematicians, and data scientists. In our team, we work together to explore, develop, and use the newest GenAI technologies. Together, we drive KPN toward becoming a truly AI-driven organization. Ready to take your career to the next level? All benefits What will you bring us? You're a hands-on engineer who thrives in cloud-native environments and is passionate about GenAI technologies. You're analytically strong, carry a strong sense of responsibility, and excel at bridging the gap between technical and non-technical stakeholders. You're eager to learn, adaptable, and enjoy working in a fast-paced, innovative environment. To be successful in this role, you bring ## Related Videos - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? 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