AI Engineer

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.

Key Responsibilities
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.

Experience & Requirements
Essential
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.

Example Projects
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.

Package
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.