Azure AI Platform Engineer
We are looking for an experienced Azure AI Platform Engineer to build and evolve cloud-native platforms supporting modern AI and LLM applications.
You will work across Azure, Kubernetes, Infrastructure-as-Code, CI/CD and GitOps, creating scalable, reliable platforms that allow engineering teams to build and deploy applications efficiently.
Key Skills & Experience
- 4+ years in Platform Engineering or Cloud Engineering
- Strong hands-on Microsoft Azure experience
- Production Kubernetes / AKS experience
- Infrastructure-as-Code using Terraform
- CI/CD using GitHub Actions, GitLab CI or Azure DevOps
- GitOps experience with Argo CD or Flux
- Strong Python skills plus Go or TypeScript
- Experience supporting LLM / Generative AI applications
- Understanding of LLM APIs, embeddings, vector search and RAG
- Exposure to Azure OpenAI, Azure AI Foundry or similar AI platforms
- Observability using OpenTelemetry, Grafana, Datadog or similar
- Strong focus on developer experience
This is an excellent opportunity for a Platform Engineer who combines strong Azure/Kubernetes engineering with practical exposure to AI/LLM platforms and wants to help build the foundations for production AI applications.
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Azure AI Platform Engineer- contract employer: GCS Recruitment
Join a forward-thinking organisation that values innovation and collaboration, where as a Senior Site Reliability Engineer, you will play a pivotal role in enhancing the reliability and performance of critical banking systems. With a hybrid working model based in Knutsford or Glasgow, you will benefit from a supportive work culture that prioritises continuous improvement and employee growth, alongside opportunities for technical leadership and mentorship. Enjoy a competitive benefits package and the chance to work with cutting-edge technologies in a dynamic environment that fosters professional development.
