#NC26SED191873 - AI Engineer - Closed
Deadline: September 23, 2026
Requester: NATO
Location: The Hague, Netherlands
Job type: Contractor
Start date: October, 2026
Security clearance: NATO SECRET
SCOPE OF WORK / DUTIES / ROLES
- 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.
REQUIRED SKILLS, KNOWLEDGE AND EXPERIENCE
- 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.
This position is now closed.
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