AI Engineer

📋 Description

• Co-found and shape the AI engineering team in NL; influence architecture from day one.
• Train and fine-tune LLMs/SLMs for compliance use cases (surveillance).
• Architect training pipelines integrated with data capture platforms.
• Optimize inference pipelines for cost-efficient AI at scale.
• Evaluate AI techniques (RAG, agents, distillation) for production use.
• Own explainability and auditability end-to-end; produce model cards and evidence for compliance.

🎯 Requirements

• MSc or PhD in Computer Science, AI/ML, or related field, or equivalent hands-on experience.
• Strong experience with PyTorch, TensorFlow, Hugging Face.
• Experience training and/or fine-tuning LLMs or SLMs.
• Strong NLP foundations applied to real-world problems, incl. regulatory text.
• Familiarity with ML infrastructure: training pipelines, GPU clusters, MLOps.
• Pragmatic mindset — you care about getting models into production, not just notebooks.

🎁 Benefits

• A rare opportunity to help build a new AI engineering team from day one.
• Access to high-end GPU infrastructure for model training and experimentation.
• Rock-solid data platform (NTR-X) on which to run your models.
• Competitive salary and strong benefits package.
• Personal development budget for training, conferences, and certifications.
• Hybrid working: 2 days in the office, 3 days from home.