Staff ML/LLM Ops Engineer

<div class="content-intro"><p><strong>ABOUT LVT</strong></p> <p><a href="https://www.lvt.com/resources/why-work-at-lvt">LVT</a> is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first <a href="https://www.lvt.com/story">mobile, solar-powered units</a>, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to <a href="https://www.lvt.com/careers">join a cutting-edge team</a> that isn't just watching the world change, but actively building the technology that is changing it.</p> <p>We’re a team that’s focused on growth and innovation, and we’re proud that our crew, products, and leadership are being recognized for it.</p> <ul> <li><strong>A Top-Tier Growth Company: </strong>Named one of the <em>Financial Times’ Fastest Growing Companies 2025</em> and <em>#10 on the Inc. 5000 Rocky Mountain Regional</em> list for 2025.</li> <li><strong>Innovative Leadership: </strong>Our CEO, Ryan Porter, was named an <em>EY Entrepreneur of the Year 2025</em>, and our CTO, Steve Lindsey, was inducted into the <em>Silicon Slopes CTO Hall of Fame</em> in 2024.</li> <li><strong>Product &amp; Software Excellence: </strong>We were named one of <em>The Software Report’s Top 100 Software Companies of 2023</em> and are a winner of the <em>Security Today Govies Award </em>for 2025.</li> </ul></div><div class="p-rich_text_section"> <p><strong>ABOUT THIS ROLE</strong></p> <p>We are seeking a Staff ML/LLM Ops Engineer to own the model lifecycle as infrastructure that turns the path from research to production into standardized self-serve tooling. The model portfolio this platform serves spans both the computer-vision models in production today and a growing set of LLM, VLM, and agentic workloads. Bringing those generative workloads under the same lifecycle discipline: serving, version-pinning, evaluation, guardrails, and cost and latency monitoring is a part of this role's scope.</p> <p>This is a senior individual-contributor and technical-leadership role. You will partner closely with AI/ML research, the application backend team, and platform and infrastructure teams. You should be equally comfortable discus