AI Developer Platform Engineer

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

Strong understanding of self-service developer platforms

Nice to Have

Argo CD / Flux

Crossplane

MLflow

KServe / Ray Serve

OpenTelemetry / Prometheus

Secrets and workload identity

Platform APIs / gRPC

Internal Developer Platforms and service catalogues

Experience building infrastructure for LLM or ML applications

#J-18808-Ljbffr