# C005309 AI Engineer (NS) - THU 24 Sep

**Company:** [EMW, Inc.](null/companies/rxTcVwBJTwXzUuxD5bzFUW.md)
**Location:** The Hague, Netherlands
**Workplace:** on site
**Employment type:** Contract
**Department:** AAS

[Apply for this job](null/view/ad3a2190-7a34-496b-be0e-77ac646cccff)

## 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.