AI Engineer

Responsibilities

• check_circle Co-found and shape our new AI engineering team in NiCE Netherlands — you'll influence architecture, tooling, and culture from day one
• check_circle Train and fine-tune LLMs, SLMs, and other ML/DL models for compliance use cases such as communication surveillance, market surveillance, and trade surveillance
• check_circle Architect training pipelines that integrate cleanly with our data capture platforms
• check_circle Optimize inference pipelines to deliver AI capabilities cost-efficiently at scale
• check_circle Evaluate emerging AI techniques (RAG, agents, distillation, fine-tuning strategies, etc.) and bring the most promising ones into production
• check_circle Own explainability and auditability end-to-end — from choosing the right interpretation technique (SHAP, attention analysis, custom audit trails) to producing model cards and evidence artefacts that satisfy compliance officers and regulators. This is a first-class engineering concern here, not an afterthought.
• check_circle MSc or PhD in Computer Science, AI/ML, or a related field — or equivalent hands-on experience
• check_circle Solid experience with modern ML/DL frameworks (PyTorch, TensorFlow, Hugging Face)
• check_circle Experience training and/or fine-tuning LLMs or SLMs
• check_circle Strong NLP foundations applied to real-world problems — for example: sequence classification, named entity recognition, semantic search, or RAG over unstructured financial communications. Familiarity with the quirks of financial and regulatory text (abbreviations, jargon, high-stakes edge cases) is a plus
• check_circle Familiarity with ML infrastructure: training pipelines, GPU clusters, MLOps
• check_circle Pragmatic mindset — you care about getting models into production, not just into notebooks
• check_circle Bonus: experience in financial services, RegTech, or any highly regulated domain

Benefits

• check_circle A rare opportunity to help build a new AI engineering team from day one
• check_circle Access to dedicated high-end GPU infrastructure for model training and experimentation
• check_circle A rock-solid data platform (NTR-X) on which to run your models
• check_circle Competitive salary and strong benefits package
• check_circle Personal development budget for training, conferences, and certifications
• check_circle A dynamic, international company with a collaborative team culture
• check_circle Hybrid working: 2 days in the office, 3 days from home
• check_circle Meaningful work on systems used by some of the world's largest financial institutions

About the company