AI/ML Engineer

Job Overview

As part of a large-scale digital and platform transformation, our clients are strengthening their AI and Machine Learning capabilities to deliver intelligent, secure, and scalable solutions on Microsoft Azure.

This transformation focuses on embedding enterprise-grade AI and Generative AI capabilities within modern platform engineering environments, enabling automation, enhancing data-driven decision-making, and accelerating business outcomes through responsible AI adoption.

To support this journey, we are looking for an experienced AI/ML Engineer who combines strong engineering fundamentals with hands-on GenAI expertise. This role is focused on designing, building, and operationalizing AI-powered applications and reusable platform components, ensuring scalability, reliability, and alignment with enterprise standards.

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 or Belgium? We provide full support with visa processes, making your transition smooth and hassle-free!

Key Responsibilities

• Designing and developing AI-powered applications, including RAG-based systems and intelligent APIs, using Python and modern frameworks such as FastAPI
• Building and deploying scalable GenAI solutions on Azure Kubernetes Service (AKS) using Docker, Helm, and CI/CD pipelines
• Integrating Azure OpenAI and open-source models, including prompt orchestration, streaming, fallback strategies, and cost optimization
• Designing and optimizing retrieval pipelines and vector search solutions (e.g., Azure AI Search, PostgreSQL/pgvector)
• Contributing to the development of reusable AI platform components, including APIs, templates, and SDK-like building blocks
• Ensuring observability, monitoring, and performance optimization of AI services in production
• Collaborating with product, data, and platform teams to translate business needs into scalable AI solutions
• Supporting the transition from PoC to production-grade systems, ensuring reliability, security, and maintainability
• Maintaining clear documentation and promoting best practices across teams

Requirements

• 5+ years of experience in software engineering, ML engineering, or AI development, with recent exposure to GenAI use cases
• Strong programming skills in Python, with focus on clean code, testing, and maintainability
• Hands-on experience building APIs using FastAPI (or similar frameworks)
• Solid understanding of Generative AI concepts, including RAG, embeddings, prompt engineering, and evaluation techniques
• Experience with vector search and retrieval optimization (chunking strategies, hybrid search, re-ranking, filtering)
• Proven experience working with Azure cloud services, such as Azure OpenAI, AI Search, AKS, ACR, and Azure DevOps