AI Engineer – Azure & Generative AI (Relocation Provided)
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 ...
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