C005309 AI Engineer (NS) NETHERLANDS - 24 Sep

Park Lane Recruitment

Belgium

4 days ago

Apply on www.adzuna.be

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

€131,040.0

Working hours

Regular working hours

Job source

www.adzuna.be

Tech stack

Artificial Intelligence Airflow Cloud Computing Computer Programming Continuous Integration Information Engineering Extract Transform Load (ETL) Machine Learning Node.Js NoSQL Standard Sql Next.js

+20 more

Secure Coding Software Engineering TypeScript Workflow Management Systems Data Logging Large Language Models Model Validation Generative AI Backend Fastapi Containerization Kubernetes Machine Learning Operations Front End Software Development Virtual Agents Restful APIs Code Restructuring Software Version Control Data Pipelines Docker

Job description

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.