AI Ops Engineer

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

Title : AI Automation Engineer II Location : Remote Duration : 6 +Months Type : Contract W2 Required Skills and Expertise: 2+ years of hands-on experience working with: o Large Language Models (LLMs). o Agentic AI frameworks. o Prompt engineering. o Retrieval-Augmented Generation (RAG). o AI orchestration platforms. 3-5 years of overall engineering experience, including a foundation in one or more of: o Python development. o Backend software engineering. o API development and integration. o

Need W2 - AI Ops Engineer II for our direct in Denver, CO (Remote) Only W2 candidates apply for this job requirement While modern generative AI and LLM orchestration tools have only been mainstream for a short time, the 3 to 5 years of required experience for this Level II role reflects the total engineering maturity needed for enterprise deployment. Thanks

Senior AI Engineer Experience: 10+ years overall; 4+ years relevant AI/engineering experience Location: Remote Key Responsibilities Build LLM, Copilot, RAG, and Agent-based systems Own AI features end-to-end: prototype evaluate deploy improve Develop prompt pipelines, embeddings, vector search, and RAG Design agentic workflows with tools, APIs, planning, memory, and state Optimize quality, latency, scalability, and cost Build evaluation frameworks, benchmarks, and monitoring Implement AI safe