about 5 hours ago
Sandy, UT, USA
Senior
Responsibilities
- Build AI/ML-powered automation for Voice, Network, and Compute platforms.
- Design and deploy Model Context Protocol (MCP)–style servers or similar agent service layers.
- Develop Skills and tools for workflow automation enabling LLM-driven agents.
- Create intelligent systems for anomaly detection, forecasting, root cause analysis, and self-healing.
- Integrate automation with SBCs, SIP systems, routers/switches, load balancers, VMware, Kubernetes, and cloud platforms.
- Build APIs, Skills, and agent workflows that connect with observability, CMDB, and ticketing platforms.
- Implement Infrastructure-as-Code using Terraform, Ansible, or similar tools.
- Partner with operations teams to eliminate manual work and improve uptime.
- Define guardrails, permissions, and validation layers for AI-driven automation.
Requirements
- 5+ years of experience in AI/ML engineering, automation engineering, or infrastructure engineering.
- Strong Python development skills, including API and service development.
- Hands-on experience with Voice technologies like SIP and SBCs.
- Experience with Network technologies including routing/switching and F5.
- Familiarity with Compute technologies such as VMware, Kubernetes, and cloud platforms.
- Experience building or operating MCP-like services or agent backends.
- Proven ability to create modular Skills or tools for workflow automation.
- Experience with ML frameworks and LLM orchestration tools.
- Solid understanding of CI/CD, GitOps, containers, and orchestration.
Tech Stack
AnsibleApache KafkaAWSAzureGoogle Cloud PlatformKubernetesPythonTerraform
Categories
AI & MLDevOps