Azure AI Engineer - Generative AI & LLM Platforms

Wypoon Technologies BV

Amsterdam

Hybrid

EUR 90,000 - 120,000

Full time

2 days ago
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Benefits offered by this job

Competitive salary
25 days vacation
Relocation support
30% ruling
Travel reimbursement
Equipment provided
Professional development
Visa sponsorship
Temporary housing
Relocation assistance

Job summary

Wypoon Technologies BV is seeking an experienced AI Engineer in Amsterdam to design, develop, and deploy scalable AI applications on Azure. You will build cloud-native AI solutions using Docker, Kubernetes (AKS), and CI/CD pipelines while integrating AI/ML and LLM-powered capabilities into enterprise systems.

The role requires hands-on experience with Azure OpenAI, RAG architectures, and modern software architectures.

Qualifications

  • 5+ years of professional software or AI engineering experience.
  • Strong Python and production-grade app development.
  • Hands-on Azure and cloud-native app development.
  • Experience with Docker, Kubernetes, and AKS.
  • Experience with REST APIs and modern software architectures.
  • English communication skills.

Responsibilities

  • Design, develop, and deploy scalable AI applications on Azure.
  • Build cloud-native AI solutions with Docker, Kubernetes, and CI/CD.
  • Integrate AI/ML and LLM-powered solutions with enterprise apps and data sources.
  • Work with Generative AI technologies like Azure OpenAI and RAG.
  • Deploy, monitor, secure, and optimize AI applications in production.
  • Collaborate with software engineers, data scientists, and platform teams.
  • Apply software engineering best practices for code quality and reliability.

Skills

Python
Azure
Docker
Kubernetes
REST APIs
CI/CD
AI/ML engineering
English communication

Tools

AKS
Terraform
Azure OpenAI

Job description

Wypoon Technologies BV is seeking an experienced AI Engineer in Amsterdam to design, develop, and deploy scalable AI applications on Azure. You will build cloud-native AI solutions using Docker, Kubernetes (AKS), and CI/CD pipelines while integrating AI/ML and LLM-powered capabilities into enterprise systems.

The role requires hands-on experience with Azure OpenAI, RAG architectures, and modern software architectures.

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