AI Automation Engineer (AIOps)

TL;DR

AI Automation Engineer (AIOps): Engineering complete automation solutions integrating AI agents, MCP servers, and intelligent tooling into enterprise systems with an accent on secure, scalable deployment pipelines. Focus on orchestrating multi-step agentic workflows, designing MCP server ecosystems, and automating infrastructure provisioning using Kubernetes and Terraform.

Location: Remote or Hybrid. U.S. citizenship is required.

Salary: $124,397 – $138,003 / Yr

Company

hirify.global is a global defense and scientific innovator providing high-technology solutions for mission-critical operations.

What you will do

• Engineer automation solutions from the ground up integrating AI agents and Model Context Protocol (MCP) servers.
• Build and own end-to-end CI/CD pipelines using GitLab CI and AI-powered tools to automate testing and deployment.
• Deploy and manage containerized applications with Kubernetes and automate infrastructure provisioning via Terraform and Ansible.
• Design MCP server ecosystems to expose data sources and APIs as context for LLM-powered workflows.
• Orchestrate multi-step agentic workflows enabling AI agents to autonomously interact with operational systems.
• Implement secure authentication flows using OAuth 2.0 and OpenID Connect within MCP servers.

Requirements

• Bachelor’s degree in Software Engineering or related STEM field (or Master's degree).
• 5+ years of job-related experience (or 3 years with a Master's degree).
• U.S. citizenship is required.
• Hands-on expertise with GitLab CI, Kubernetes, Terraform, and Ansible.
• Experience building AI agent skills and integrating LLM-based assistants in production.
• Understanding of prompt engineering, retrieval-augmented generation (RAG), and MCP protocols.

Nice to have

• Experience working in Agile environments.
• Experience in complex, regulated, or mission-critical environments.

Culture & Benefits

• 9/80 work schedule (every other Friday off).
• Comprehensive benefits including 401k matching and healthcare programs.
• Paid parental leave and flexible time off.
• Research-oriented work contributing to national security.
• Continuous learning and professional development opportunities.