About Be Informed
Role Overview
Key Responsibilities
Design AI pipelines for structuring regulatory texts.
Design and develop AI pipelines to structure legal and regulatory texts for further AI processing.
Natural Language Processing (NLP), classification and text generation
Utilize and develop AI models such as those based on Transformer architectures (e.g., BERT, GPT, Llama, and fine-tuned models from Hugging Face Transformers), for precise entity extraction, text classification and regulatory modeling and interpretation. Ensure AI-generated interpretations are explainable, accurate, and compliant with industry standards.
Information and knowledge exploration
Implement embedding- and graph-based search and retrieval models to find related concepts, regulations or for example match regulations to business designs.
Predictive analytics on case data
Matching and extracting insights from previous cases.
AI Services & Framework Development
Build an AI framework consisting of independent AI services that provide standardized interfaces and messaging to collaborate seamlessly with the Workbench and other tools.
Design services to be deployed, scaled, and improved independently while collaborating with other platform components.
Collaboration with Solution Architecture & Engineering Teams
Work closely with the Solution Architect to ensure AI services align with platform requirements.
Collaborate with backend and front-end teams to integrate AI capabilities into Workbench workflows.
Provide guidance on scalability, security, and API integration best practices for AI.
Required Qualifications
Technical Skills & Expertise
- Strong experience in AI development, with a focus on NLP, text classification, and regulatory automation.
- Experience with structured outputs and function calling from AI models.
- Experience with vector and graph databases for semantic search and (Graph)RAG.
- Experience with building AI-driven services with technologies like FastAPI
- Proficiency in Python and AI frameworks for for instance chaining and multi-agent development.
- Familiarity with cloud-based AI deployment (AWS, Azure, GCP), Docker and Kubernetes.
Soft Skills & Collaboration
- Strong problem-solving skills, with a focus on explainable and trustworthy AI.
- Effective collaboration with cross-functional engineering teams.
- Ability to translate regulatory needs into AI solutions.
Preferred Qualifications
- Experience with RegTech or compliance AI applications is a plus.
- Prior work on legal AI models, knowledge graphs or automated regulatory compliance.
- Hands-on experience with ontology-based AI reasoning models
Why Join Us?
Function
AI Engineer
Location
Apeldoorn (Hybrid)
Employment type
Full-time
Experience level
Medior
