AI / ML Engineer (Agent Developer)
Core
Design, implement, and maintain CI/CD pipelines, Kubernetes platforms, and GitOps practices to support secure application delivery and AI agent deployment.
Role type
Mid-level DevOps/Cloud Engineer with AI Agent deployment focus
Builds
Cloud-native infrastructure, CI/CD pipelines, and AI agent/MCP server components
Domain
Cloud Infrastructure, DevOps, AI Platform Operations
Deliverable
infrastructure
Required skills
Kubernetes management, CI/CD pipeline design, GitOps, Docker containerization, Azure cloud services, Helm, networking concepts, automation scripting (Bash/Python)
Preferred skills
Infrastructure-as-code, AI platform operations, MCP services, agent deployment architectures
Technologies
Azure Kubernetes Service (AKS), Amazon EKS, Azure DevOps, GitHub Actions, ArgoCD, Flux, Azure Container Registry, Azure Key Vault, Docker, Helm
Responsibilities
Manage Kubernetes clusters and deployments, establish GitOps practices, configure networking components (API gateways, DNS, TLS), implement secrets management, deploy AI agents and MCP servers
Seniority
Mid-level, hands-on IC (3+ years experience)