Tech Stack

Description

You will design and deploy AI-driven automation to improve reliability, performance, and operational efficiency across large-scale voice, network, and compute infrastructure. This role involves building agent-based automation, MCP-style service frameworks, and reusable Skills for intelligent workflows.

Requirements

• 5+ years experience in AI/ML engineering, automation engineering, or infrastructure engineering
• Strong Python development skills including API and service development
• Hands-on experience with Voice (SIP, SBCs), Network (routing/switching, F5, Palo Alto, Arista), Compute (VMware, Kubernetes, cloud)
• Experience building MCP-like services or agent backends for LLM-tool interaction
• Solid understanding of CI/CD, GitOps, containers, and orchestration

Responsibilities

• Build AI/ML-powered automation for Voice, Network, and Compute platforms
• Design and deploy MCP-style servers exposing infrastructure capabilities as AI-callable actions
• Develop Skills and tools for LLM-driven workflow automation, diagnostics, and remediation
• Create intelligent systems for anomaly detection, forecasting, root cause analysis, and self-healing
• Implement Infrastructure-as-Code using Terraform, Ansible, or similar tools