AI Enablement Engineer - Build Production AI Tools & DevOps

ScreenPoint Medical BV; Nijmegen; Ibrido; EUR 85.000 - 120.000; Tempo pieno

Descrizione del lavoro

ScreenPoint Medical BV is seeking a DevOps engineer to lead AI enablement, design and ship automation and AI-powered tools, and own the cloud foundation including CI/CD pipelines and Kubernetes deployments. You will drive adoption across teams and ensure production-grade quality.

The ideal candidate has 7+ years in DevOps for cloud development, strong AI tooling momentum, and hands-on experience with AWS, Argo, Jenkins, Terraform, and Kubernetes.

Competenze

• Experience building AI/LLM tooling or strong software engineering momentum toward AI tooling.
• 7+ years in DevOps supporting cloud development, with 1–2 years focused on AI enablement.
• Hands-on DevOps expertise: AWS, Argo, Jenkins, Git, Terraform, CI/CD pipelines, IaC.
• Solid knowledge of Kubernetes: deployments, scaling, troubleshooting, observability.

Mansioni

• Lead AI enablement by identifying workflows to automate and building AI-powered tools.
• Drive adoption by evangelizing AI tooling and helping teams extract value.
• Be hands-on by shipping production-grade internal tools from POC to daily use.
• Integrate AI capabilities (APIs, agents, automation) into internal tools and pipelines.
• Own the platform: design and maintain GitOps CI/CD pipelines and Kubernetes infrastructure.
• Take full ownership from idea to production support.

Conoscenze

AI tooling experience

DevOps leadership

Cloud infrastructure

Kubernetes

Strumenti

AWS

Argo

Jenkins

Git

Terraform

CI/CD

Descrizione del lavoro

ScreenPoint Medical BV is seeking a DevOps engineer to lead AI enablement, design and ship automation and AI-powered tools, and own the cloud foundation including CI/CD pipelines and Kubernetes deployments. You will drive adoption across teams and ensure production-grade quality.

The ideal candidate has 7+ years in DevOps for cloud development, strong AI tooling momentum, and hands-on experience with AWS, Argo, Jenkins, Terraform, and Kubernetes.