AI Engineer for Kubernetes & Intelligent DevOps – UK/USA
About Our Engineers
With 7+ years in cloud automation and machine learning ops, this engineer builds high-availability AI platforms on Kubernetes. Whether you're launching GPT copilots, deploying multimodal AI systems, or containerizing your backend, they bring speed, security, and reliability.
Key Expertise & Skills
Kubernetes for AI Deployments
LLM Pipelines at Scale
CI/CD for GPT Services
Helm Chart Customization
Secure GPU Node Provisioning
Container-Based AI Tools
Logging & Observability
Technologies & Tools
Kubernetes (EKS
GKE
AKS)
OpenAI API
Docker
Helm
ArgoCD
LangChain
Whisper
Redis
Cloudflare
Terraform
Vault
Grafana
Prometheus
GitHub Actions
Azure Pipelines
Projects Our Engineers Have Worked On
- LLM Hosting Architecture on Kubernetes – Designed a multi-tenant LLM deployment with K8s for enterprise clients, including load-balanced endpoints and GPU autoscaling.
CI/CD for Generative AI SaaS – Created a GitHub Actions + ArgoCD pipeline to test and deploy GPT-powered tools with version rollback and monitoring baked in.
Multimodal AI Microservices in K8s – Architected a service mesh for audio (Whisper), image (DALL·E), and text (GPT) processing pods with inter-service routing and logging.
Whisper AI API Gateway – Developed a secure and scalable transcription pipeline with Kubernetes + Vault for token-based Whisper processing in real-time.
Kubernetes-Powered NLP API Infrastructure – Built a set of GPT/NLP endpoints served from multiple regions for a global SaaS platform with edge caching and latency alerts.
LangChain Model Orchestration via Helm – Created reusable Helm charts for deploying LangChain-backed GPT tools into isolated K8s namespaces with resource quotas.
Who Should Hire This Engineer?
AI SaaS platforms hosting GPT/LLMs
Enterprise DevOps teams integrating AI microservices
CTOs scaling containerized NLP tools
Healthtech/Fintech teams building secure voice + AI apps
Product teams deploying real-time ML services