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Platform Engineer (AI Infrastructure)

Remote
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AI Summary

We are seeking a Platform Engineer to help build and support the cloud infrastructure powering modern AI applications. The successful candidate will work alongside an experienced AI team to build reliable, scalable production environments. Commercial experience in Platform Engineering, DevOps or Site Reliability Engineering is required.

Key Highlights
Building resilient infrastructure for AI applications
Improving operational reliability and scalability
Working with cloud-native production environments
Key Responsibilities
Supporting cloud-native production environments running AI applications
Managing deployments, CI/CD pipelines and infrastructure automation
Monitoring platform health, observability, alerting and incident response
Technical Skills Required
Amazon Web Services Kubernetes Terraform
Benefits & Perks
Remote work
Benefits package
Long-term career development
Nice to Have
Exposure to AI, Machine Learning, MLOps or LLM-based systems

Job Description


Platform Engineer (AI Infrastructure)

Remote (UK)

£65,000 - £80,000 + Benefits


I'm currently working with a growing organisation investing heavily into AI, automation and intelligent systems, looking to hire a Platform Engineer to help build and support the cloud infrastructure powering modern AI applications.


This is an excellent opportunity for an experienced Platform Engineer, Site Reliability Engineer or DevOps Engineer looking to develop their career within AI.


Working alongside an experienced AI team, you'll help build reliable, scalable production environments that support AI-powered applications, whilst gaining hands-on exposure to modern AI platforms, LLM-based systems and intelligent automation.


This isn't a research or data science role. The focus is on building resilient infrastructure, improving operational reliability and helping AI applications run successfully in production.


The role

You'll work across cloud infrastructure, platform engineering and production operations, supporting AI applications from deployment through to monitoring and continuous improvement.

Key responsibilities include:

  • Supporting cloud-native production environments running AI applications
  • Managing deployments, CI/CD pipelines and infrastructure automation
  • Monitoring platform health, observability, alerting and incident response
  • Improving reliability, scalability and operational performance
  • Working alongside AI engineers to deploy and support production AI systems
  • Building and maintaining Infrastructure as Code
  • Supporting Kubernetes-based environments and containerised workloads
  • Contributing to engineering standards, automation and operational best practice


What they're looking for

  • Commercial experience in Platform Engineering, DevOps or Site Reliability Engineering
  • Strong AWS experience
  • Experience with Kubernetes and containerised environments
  • Terraform or other Infrastructure as Code tooling
  • CI/CD pipelines and deployment automation
  • Monitoring, logging and observability tooling
  • Python or scripting experience
  • Strong troubleshooting skills and a passion for building reliable production systems
  • Exposure to AI, Machine Learning, MLOps or LLM-based systems would be beneficial but isn't essential.


More important is a genuine interest in modern AI technologies and a desire to build your experience supporting production AI environments.


Why apply?

This is a rare opportunity to join an organisation making significant investment into AI at a time when demand for engineers with AI platform experience continues to grow.


You'll work alongside experienced AI engineers on real-world production systems, gaining exposure to modern AI infrastructure, LLM-powered applications and intelligent automation whilst continuing to develop your platform engineering expertise.


The role is fully remote within the UK and offers genuine long-term career development as the organisation continues to expand its AI capability.


For more information or a confidential discussion, please apply today.


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