AI Engineer – Azure & Generative AI (Relocation Provided)
- Hiring from
- Netherlands
- Work type
- Hybrid
- Posted
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Are you an AI Engineer passionate about building and deploying scalable AI solutions in real-world environments?
At Wypoon Technologies, we're looking for experienced AI Engineers to help enterprise organizations develop, deploy, and scale innovative AI applications and platforms.
We're looking for professionals with strong hands-on experience in AI engineering, solid software development skills, and expertise in Azure cloud technologies. Experience with Generative AI, LLMs, and cloud-native AI solutions is highly valued.
Whether your expertise lies in AI application development, Generative AI, or AI platform engineering, you'll have the opportunity to work on challenging projects using modern AI and cloud technologies.
Why Join Us?
At Wypoon Technologies, you’ll work on dynamic projects for industry leaders such as Heineken, ING, ASML, Philips, and Shell, tackling exciting challenges and delivering tailored enterprise solutions.
Here’s what makes us stand out:
✔ Impactful Work: Shape the future of our clients’ digital landscapes.
✔ Innovative Environment: Collaborate within a supportive team that values learning and growth.
✔ State-of-the-art technology: Access the latest tools and platforms.
✔ Global Opportunities: Dreaming of living and working in the Netherlands? We provide full support with visa processes, making your transition smooth and hassle-free!
Key Responsibilities
- Design, develop, and deploy scalable AI applications and services using Python and Microsoft Azure.
- Build and maintain cloud-native AI solutions using Docker, Kubernetes (AKS), and CI/CD pipelines.
- Develop and integrate AI/ML and LLM-powered solutions with enterprise applications, APIs, and data sources.
- Work with Generative AI technologies, including Azure OpenAI, RAG architectures, and AI agents, depending on project requirements.
- Contribute to the deployment, monitoring, security, and performance optimization of AI applications in production.
- Collaborate with software engineers, data scientists, and platform teams to deliver reliable and scalable AI solutions.
- Apply software engineering best practices to ensure code quality, maintainability, and system reliability.
Requirements
- 5+ years of professional experience in software engineering, AI engineering, or related technical roles, including hands-on AI/ML engineering experience.
- Strong Python programming skills and experience developing production-grade applications.
- Hands-on experience with Microsoft Azure and cloud-native application development.
- Practical experience with Docker and Kubernetes, preferably Azure Kubernetes Service (AKS).
- Experience developing, integrating, or deploying AI/ML solutions in real-world environments.
- Practical experience with Generative AI, LLMs, Azure OpenAI, or similar AI technologies.
- Experience with REST APIs, backend development, and modern software architectures.
- Knowledge of CI/CD pipelines and production deployment practices.
- Understanding of scalable, secure, and reliable cloud architectures.
- Experience with modern AI technologies and architectures, such as RAG, vector databases, Azure AI Search, or AI agents.
- Familiarity with AI deployment and operational practices, including MLOps/LLMOps, infrastructure automation, or monitoring and observability.
- Strong English communication skills.
- Experience with Agentic AI frameworks such as LangChain, LangGraph, or AutoGen.
- Experience with Infrastructure as Code tools such as Terraform or Bicep.
- Knowledge of AI security, evaluation, guardrails, and performance optimization.
Nice to Have
What We Offer
Join Wypoon Technologies, where your expertise will thrive, your ideas will be valued, and your career will reach new heights.
Apply now to be part of our transformative journey!