AI Developer Platform Engineer
Amsterdam, Netherlands — Hybrid
AI Developer Tools | Platform Engineering | AI Infrastructure | Internal Developer Platforms
Our client, a growing AI Developer Tools company based in Amsterdam, is looking for an AI Developer Platform Engineer to build the internal platform that gives AI engineering teams everything they need to develop, test, deploy, and operate production AI systems.
You'll work at the intersection of Platform Engineering, AI Infrastructure, and Developer Experience, building self-service environments, model and API access, deployment workflows, and reusable infrastructure for AI teams.
What You'll Work On
• Build an internal developer platform specifically for AI engineering teams
• Create self-service workflows through Backstage
• Provision development, testing, and production environments on Kubernetes
• Build reusable infrastructure components using Terraform
• Develop platform tooling and automation in Python
• Integrate LLM and model APIs into standardised developer workflows
• Build secure, reusable access patterns for models, APIs, data, and infrastructure
• Implement GitOps-based deployment workflows
• Create golden paths for common AI application architectures
• Automate environment provisioning and lifecycle management
• Improve developer experience across experimentation, testing, deployment, and production
• Build platform abstractions that reduce infrastructure complexity for AI engineers
• Partner with AI, ML, Platform, and Security teams to standardise how AI systems reach production
Core Skills
• 4+ years in Platform Engineering, AI Infrastructure, MLOps, Developer Experience, or similar roles
• Kubernetes
• Python
• Backstage
• Terraform
• LLM / model APIs
• GitOps
• AWS
• Strong understanding of self-service developer platforms
Nice to Have
Argo CD / Flux
Kubernetes Operators / Controllers
Crossplane
Helm
MLflow
KServe / Ray Serve
OpenTelemetry / Prometheus
Vector databases
Secrets and workload identity
Platform APIs / gRPC
Internal Developer Platforms and service catalogues
Experience building infrastructure for LLM or ML applications