AI Ops Engineer II

Contract: 9–12 Months | Location: 100% Remote

We are seeking an AI Ops Engineer II / AI Automation Engineer to build and scale an enterprise Operational AI platform. The role combines Python/backend engineering, Generative AI, LLMs, RAG, agentic AI, and enterprise IT integrations.

Ideal Profile: Strong Python/backend engineer with hands-on production GenAI/LLM and agentic AI experience who can integrate AI into enterprise IT operations.

Key Responsibilities

• Build AI agents and multi-agent workflows using LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
• Develop MCP (Model Context Protocol) integrations and LLM-powered automation.
• Build APIs/data integrations with ServiceNow/CMDB, Dynatrace, Zabbix, and GCP.
• Develop AI use cases for incident triage, RCA, Help Desk automation, and proactive IT operations.
• Implement RAG, prompt engineering, LLM evaluation, and AI observability.
• Use AI coding tools such as Devin, Windsurf, Cursor, or GitHub Copilot.

Required Skills

• 3–5 years total engineering experience.
• Strong Python and REST API development.
• 1–2+ years hands-on GenAI/LLM development.
• Experience with RAG, prompt engineering, and agentic AI.
• Experience with MCP and/or LLM tool/function calling.
• Experience with cloud platforms, preferably GCP.
• Enterprise integration/API experience.
• AIOps, ITSM, ServiceNow, or observability experience is highly preferred.

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