<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/30030d3d30ac40ec8fde6d0ba0c109f6&quot; frameborder=&quot;0&quot; width=&quot;1662&quot; height=&quot;1246&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1246</height><width>1662</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1246</thumbnail_height><thumbnail_width>1662</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/30030d3d30ac40ec8fde6d0ba0c109f6-0094aa3b31bf4f4e-full.jpg</thumbnail_url><duration>497.418</duration><title>Applied AI Engineers, FDE Role Overview</title><description>This Loom explains the purpose and roadmap behind the Applied AI Engineers community and how it supports people aiming for forward deployed engineer roles. Peyton Gale, a former Google software engineer and current pre deployed engineer at Notion, shares that after a year away from content to clarify their path, they enjoyed less day to day coding and more customer embedded work in an AI native role. He describes a program that connects interview ready members to recruiters to reduce friction, noting recruiters and direct connections with companies like Harvey, Decagon, Notion, Circle, and ScopeHealth, with vetting to avoid wasting time. He also plans to post a weekly journal on what the role is like and how to incorporate AI into daily work.</description></oembed>