C005309 AI Engineer (NS) THU 24 Sep

Deadline Date: Thursday 24 September 2026

Requirement: AI Engineer

Location: The Hague NL

Full Time On-Site: Yes

Time On-Site: 100%

Total Scope of the request (hours): 278

Required Start Date: 30 October 2026

End Contract Date: 31 December 2026

Required Security Clearance: NATO SECRET

Duties & Role:

• Apply machine learning and data science techniques to new problems and datasets including evaluating model outcomes performance and data quality.
• Identify issues in machine learning systems models pipelines datasets and development activities and implement practical improvements.
• Design develop test document amend refactor and maintain moderately complex programs scripts and AI/ML components.
• Apply agreed engineering standards tools and secure development practices to deliver reliable maintainable and well-engineered solutions.
• Support AI/software lifecycle engineering by eliciting requirements selecting suitable working practices and deploying automation for development testing release deployment and monitoring.
• Define AI modules for integration builds produce build definitions and validate completed modules against agreed functional quality security and performance criteria.
• Build maintain and improve data pipelines using data engineering standards and tools including ETL/ELT processes.
• Monitor progress report status communicate risks or blockers and collaborate with colleagues through reviews and shared delivery ownership.
• Support monitoring of emerging technologies contribute to technology assessments reports roadmaps and knowledge sharing.

Skills Knowledge & Experience:

• The candidate must have a currently active NATO SECRET security clearance
• Experience developing optimising deploying and maintaining end-to-end AI/ML pipelines including training packaging monitoring and lifecycle management.
• Strong hands-on experience in programming machine learning software engineering and applied AI development.
• Solid understanding of machine learning concepts model evaluation performance measurement assessment methods and model improvement techniques.
• Experience applying pre-trained models foundation models LLMs and Generative AI to practical use cases.
• Experience with RAG embeddings vector databases AI application architectures and production-grade AI agent backends using frameworks such as LangChain LlamaIndex Pydantic AI or similar.
• Strong experience with MLOps/AIOps version control CI/CD automation experiment/model lifecycle practices and build/release workflows.
• Experience developing REST APIs backend services and modern Python applications using FastAPI Pydantic or similar frameworks.
• Experience with containerisation orchestration and deployment technologies including Docker Kubernetes Helm cloud infrastructure provisioning and workflow orchestration tools such as Airflow or Argo.
• Experience implementing guardrails observability logging monitoring and operational controls for LLM-based systems.
• Experience working with SQL and NoSQL databases.
• Experience with TypeScript or frontend frameworks such as .
• Experience working in secure restricted or air-gapped environments.

Required Experience:

IC