Senior AI Enablement Engineer

Role Description

As a Senior AI Enablement Engineer at vCluster Labs, you will build and maintain the AI automation our own engineering team depends on. In this role, you will be responsible for automating our engineering workflows end to end, helping the company reduce friction and speed up development tasks with AI tooling. You will build AI agents, MCP servers, and platform services that run on our own infrastructure. Your work will create secure, reliable AI tools that help our teams work more effectively and ship software faster.

• Building AI-powered engineering automation:
  • Design, build, and operate internal services for workflows such as PR reviews, releases, and Slack-based tools, GitHub and Linear automations.
• Building and running MCP servers:
  • Design, ship, and operate MCP servers that expose vCluster systems to AI agents and developers alike.
• Building agent-ready platforms:
  • Extend our platform services so AI agents can reliably discover and use them, with structured interfaces, relevant context, shared memory, and clear authority boundaries.
• Building automation with engineering teams:
  • Partner closely with developers to identify manual toil and turn the best opportunities into reliable, production-ready workflows.
• Operating AI infrastructure securely:
  • Run agentic workloads on our Kubernetes clusters and managed agent infrastructure, with attention to secrets handling, observability, and usage administration.

Qualifications

• 5+ years as a platform engineer, DevOps engineer, or SRE, with real ownership of deployed services rather than just configuration and deployment work.
• Comfort writing and shipping backend services, CLIs, or automation pipelines in any language.
• A track record of noticing manual, repetitive work and building something so it stops needing a human.
• Hands-on AI API experience: You've built automation directly against the OpenAI or Anthropic API.
• Security-minded by default: You factor security into automation and infrastructure decisions as a habit, not an afterthought.

Requirements

• Bonus points for experience with Linear.
• Experience with building or contributing to an MCP server, or going deep on the MCP spec.
• Experience with Spacelift or similar infrastructure-as-code automation.
• Hands-on experience with GPU infrastructure, including GPU servers, high-speed networking, storage, and Kubernetes-based workloads.

Benefits

• Competitive Salary: We offer a competitive compensation package, including equity.
• Platinum-Level Insurance: Health, dental, vision, and life insurance, including plans for you and eligible dependents (benefits vary depending on country).
• Flexible Working Schedule: We prioritize results over strict schedules.
• Workplace Flexibility: We’re flexible about where you work.