Senior AI Enablement Engineer

vCluster Labs • New York, NY

1d • $170,000 - $200,000 • Remote

About The Position

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.

Requirements

• Platform engineering depth: 5+ years as a platform engineer, DevOps engineer, or SRE, with real ownership of deployed services rather than just configuration and deployment work. You know your way around CI/CD, Kubernetes, and Terraform.
• Backend development chops: Comfort writing and shipping backend services, CLIs, or automation pipelines in any language.
• A bias for automation: 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, not just used AI through a subscription product like a chat client or IDE plugin.
• Security-minded by default: You factor security into automation and infrastructure decisions as a habit, not an afterthought.

Nice To Haves

• Experience with Linear
• You've built or contributed to an MCP server, or gone 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

Responsibilities

• 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.

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: You have a doctor’s appointment or need to head to the supermarket to get groceries at 2pm? We won’t have an issue with that. To us, results matter more than clocking in and out at the same time every day.
• Workplace Flexibility: We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed