Azure AI Engineer: Generative AI & Cloud-Native Apps

Wypoon Technologies BV; Amsterdam; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Relocation support

Visa sponsorship

30% ruling tax benefit

Professional development funding

Equipment provided

Job summary

Wypoon Technologies is seeking an experienced AI Engineer to design, develop, and deploy scalable AI applications on Microsoft Azure. You’ll build cloud-native AI solutions using Docker and Kubernetes (AKS) and integrate AI/ML/LLM capabilities with enterprise systems and data sources.

You will work with Generative AI, Azure OpenAI, and RAG architectures, ensuring secure, reliable production deployments and collaborating with software engineers, data scientists, and platform teams across

Qualifications

• 5+ years of professional experience in software/AI engineering.
• Strong Python programming skills with production-grade apps.
• Hands-on experience with Microsoft Azure cloud and cloud-native app dev.
• Experience with Docker and Kubernetes, preferably AKS.
• Experience deploying AI/ML/LLM solutions in real-world environments.
• Practical experience with Generative AI, LLMs, Azure OpenAI, or similar tech.
• Experience with REST APIs, backend development, and modern architectures.
• Knowledge of CI/CD pipelines and production deployment practices.
• Understanding of scalable, secure, and reliable cloud architectures.
• Familiarity with AI deployment/operational practices (MLOps/LLMOps).
• Strong English communication skills.

Responsibilities

• Design, develop, and deploy scalable AI applications on Azure.
• Build and maintain cloud-native AI solutions using Docker, Kubernetes, and CI/CD.
• Develop and integrate AI/ML/LLM solutions with enterprise apps and data sources.
• Work with Generative AI tech including Azure OpenAI and RAG architectures.
• Support deployment, monitoring, security, and performance of AI apps in production.
• Collaborate with engineers, data scientists, and platform teams to deliver reliable AI solutions.
• Apply software engineering best practices for code quality and reliability.

Skills

Python

Azure

AI engineering

LLMs

APIs

CI/CD

Docker

Kubernetes

Tools

Azure

Docker

Kubernetes (AKS)

CI/CD pipelines

Job description

Wypoon Technologies is seeking an experienced AI Engineer to design, develop, and deploy scalable AI applications on Microsoft Azure. You’ll build cloud-native AI solutions using Docker and Kubernetes (AKS) and integrate AI/ML/LLM capabilities with enterprise systems and data sources.

You will work with Generative AI, Azure OpenAI, and RAG architectures, ensuring secure, reliable production deployments and collaborating with software engineers, data scientists, and platform teams across