AI Ops Engineer II

IDR is seeking an AI Ops Engineer II for a remote opportunity. In this role, you’ll help design and scale a unified operational AI interface used by IT Operations teams to access infrastructure data, insights, and automation in one centralized platform.

About the role

• Build and enhance an enterprise operational AI platform that serves as a centralized interface for IT Operations engineers.
• Develop foundational data integrations connecting LLM frameworks to systems like ITSM/CMDB, monitoring, and cloud platforms.
• Design and implement multi-agent reasoning workflows to support incident triage, Help Desk automation, and root cause analysis (RCA).
• Create API-driven services and tooling in Python to connect disparate systems and enable reliable automation.
• Improve data quality, governance, and guardrails to increase AI safety, accuracy, and operational trust.

Requirements

• 3–5 years of overall engineering experience, including a strong foundation in backend software engineering, API integration, data engineering, or traditional AIOps
• 1–2 years of hands-on experience with modern LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG)
• Experience building multi-agent AI systems (e.g., LangChain, AutoGen, CrewAI) and leveraging tool-calling and/or Model Context Protocol (MCP) patterns
• Strong Python development skills with extensive experience building and consuming RESTful APIs
• Familiarity integrating with IT operations systems such as ServiceNow (ticketing/CMDB) and monitoring/telemetry platforms (e.g., Dynatrace, Zabbix) and cloud environments (e.g., GCP)

Benefits

• Competitive compensation package
• Full Benefits: Medical, Vision, Dental, and more
• Employee Stock Ownership Program
• Dedicated Engagement Manager committed to your success
• Medical, Dental, Vision, and Life Insurance
• ClearlyRated's Best of Staffing® Client and Talent Award winner 12 years in a row

Pay

$58–60/hour