C005309 AI Engineer (NS) - THU 24 Sep

Vacaturebank; Den Haag; On-site; EUR 90,000 - 120,000; Full time

Job summary

Vacaturebank in The Hague, NL, seeks an AI Engineer to apply machine learning and data science techniques to new problems and datasets, evaluating model outcomes, performance, and data quality. You will identify issues in ML systems, design and maintain AI/ML components, and ensure secure, reliable engineering practices.

The role requires end-to-end AI/ML experience, expertise in Python, REST APIs, MLOps, and production-grade frameworks such as LangChain, Docker/Kubernetes, and FastAPI.

Qualifications

• Active NATO SECRET security clearance is required.
• Experience building end-to-end AI/ML pipelines with training, packaging, monitoring, and lifecycle management.
• Strong programming, software engineering, and AI development skills.
• Solid understanding of ML concepts, model evaluation and improvement techniques.
• Experience applying pre-trained models and generative AI to real use cases.
• Experience with RAG, embeddings, vector databases, and AI application architectures.

Responsibilities

• Apply ML and data science techniques to new problems and datasets, assessing model outcomes and data quality.
• Identify issues in ML systems and implement practical improvements.
• Design, develop, test, document, and maintain moderately complex AI/ML components.
• Adhere to engineering standards and secure development practices for reliable solutions.
• Support AI software lifecycle by eliciting requirements and deploying automation across dev/test/release/monitoring.
• Define AI modules for integration builds and validate against criteria.
• Build and improve data pipelines using ETL/ELT standards.
• Monitor progress, report risks, and collaborate across teams through reviews.
• Support technology assessments, roadmaps, and knowledge sharing.

Skills

AI/ML pipelines

Python programming

MLOps / CI/CD

REST APIs

Security/compliance

LangChain / LlamaIndex

Docker / Kubernetes

TypeScript / Next.js

Tools

LangChain

LlamaIndex

Pydantic AI

Docker

Kubernetes

Airflow

Argo

FastAPI

Pydantic

Next.js

Job description

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.

Requirements

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, Node.js, or frontend frameworks such as Next.js.
• Experience working in secure, restricted, or air-gapped environments.