AI Engineer

• Design and develop AI-powered applications and services for business-critical use cases.
• Build and deploy Machine Learning models into production environments.
• Develop Generative AI solutions using Large Language Models (LLMs), RAG architectures, and AI Agents.
• Build enterprise AI Assistants and Copilot-style solutions for internal teams.
• Collaborate with business stakeholders to identify opportunities for AI-driven automation and innovation.
• Develop scalable APIs, backend services, and AI platforms.
• Deploy and monitor AI applications within Azure cloud environments.
• Contribute to MLOps frameworks, model governance, monitoring, and lifecycle management.
• Help define AI engineering standards and best practices across the organisation., * Enterprise AI Assistants supporting claims, underwriting, and customer service teams.
• Intelligent document processing for policy documents and claims data.
• AI-powered customer support solutions.
• RAG-based knowledge management platforms.
• Fraud detection and risk assessment models.
• Multi-agent AI systems automating operational workflows.
• AI platform engineering initiatives enabling organisation-wide AI adoption.
• Multimodal AI applications combining text, image, and structured insurance data.
• Internal Copilot solutions designed to improve employee productivity.

• 3+ years of commercial experience in AI Engineering, Machine Learning Engineering, or Data Science.
• Strong Python software engineering skills.
• Experience developing and deploying Machine Learning solutions in production.
• Hands-on experience with Generative AI, LLMs, Prompt Engineering, and Retrieval-Augmented Generation (RAG).
• Experience with Azure, AWS, or GCP cloud platforms.
• Knowledge of API development and modern software engineering practices.
• Strong communication skills with the ability to work across technical and non-technical teams.
• Fluent English.

Nice to Have

• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
• MLOps experience including Docker, Kubernetes, CI/CD, and model monitoring.
• Knowledge of vector databases and embeddings.
• Exposure to financial services, insurance, or regulated environments.
• Dutch and/or French language skills.

• Up to €85,000 base salary depending on experience
• Annual bonus
• Company car or mobility budget
• Hospitalisation and group insurance
• Net allowances
• Hybrid working model
• Learning and certification budget
• Strong career progression opportunities

Why Join?

This organisation is investing heavily in AI and is moving beyond experimentation into large-scale deployment. You’ll have the opportunity to work on high-impact AI projects used by thousands of employees and customers, helping shape the future of AI within a complex enterprise environment while working alongside experienced engineers, architects, and business leaders.

We’re working with a leading insurance organisation undergoing a major AI transformation across its customer operations, claims handling, underwriting, risk management, and internal business functions.

As an AI Engineer, you’ll play a key role in designing, building, and deploying production-grade AI solutions that improve customer experience, automate business processes, and unlock value from large volumes of enterprise data.

This is an excellent opportunity to work on a mixture of Machine Learning, Generative AI, Intelligent Automation, and Enterprise AI initiatives within a large-scale environment.