AI Engineer for Terraform & Scalable AI Infrastructure – UK/USA

An infrastructure-first AI engineer, they use Terraform to automate multi-cloud environments and deploy smart apps with precision. From LLM-powered copilots to real-time ML tools, they ensure your cloud setup runs efficiently, securely, and is ready to scale with demand.

• LLM Infrastructure at Scale on Azure – Used Terraform to deploy 12-node VM clusters with Azure OpenAI API access, monitoring, and load balancers to handle 500+ requests/sec.
  
  Terraform-Powered CI/CD for GPT Apps – Created a secure, zero-downtime deployment system with GitHub Actions and Terraform; used to ship weekly GPT feature updates at scale.
  
  Multi-Cloud ML Platform Deployment – Automated the full provisioning of a cross-cloud NLP pipeline using Terraform for AWS + GCP hybrid infrastructure with shared secrets and VPNs.
  
  AI Voice Transcription Infra – Built a serverless architecture using Terraform and GCP to handle Whisper-based speech recognition at scale for a UK healthtech platform.
  
  Model Cost Tracker with Terraform + CloudWatch – Engineered a cost-monitoring module to track real-time GPT usage by team, region, and API tier—saved 21% in monthly cloud bills.
  
  SaaS AI Launchpad – Developed a reusable infrastructure stack to launch GPT-based SaaS tools in under 10 minutes, including TLS, autoscaling, alerting, and CI/CD hooks.