AI Ops Engineer

< class="PDq2pG_selectionAnchorContainer" data-section-id="15n87ug" data-start="0" data-end="21">AI Ops Engineer II</>

• Build and scale enterprise Operational AI platforms using LLMs, multi-agent workflows, and AI automation.
• Develop AI agents and MCP integrations for real-time operational tasks.
• Build backend integrations with ServiceNow, CMDB, Dynatrace, Zabbix, and Google Cloud Platform.
• Develop AI-driven use cases for Help Desk automation, incident triage, and Root Cause Analysis (RCA).
• Implement RAG, prompt engineering, and LLM orchestration.
• Use AI coding tools such as Devin and Windsurf to accelerate development.
• Progress AI workflows from read-only analysis to autonomoself-healing operations.
• Develop AI observability metrics around confidence, token usage, and MTTR.

Must Have

• 5 years overall engineering experience in Python, backend development, API integration, data engineering, or AIOps.
• 2 years hands-on experience with modern LLMs, multi-agent frameworks, and AI coding assistants.
• Strong Python and API integration experience.
• Hands-on experience with LLMs, RAG, prompt engineering, and agentic frameworks.
• Experience developing AI agents or multi-agent workflows.
• MCP experience preferred.
• Strong understanding of enterprise systems, data integration, and production AI deployments.
• ServiceNow, Dynatrace, Zabbix, or Google Cloud Platform experience.
• Experience with Devin, Windsurf, or similar AI development tools.
• AIOps, incident management, RCA, or self-healing automation experience.