video1.0<iframe src="https://www.loom.com/embed/104d6f2e84894793b4070cd41195e7c7" frameborder="0" width="3840" height="2880" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>28803840Loomhttps://www.loom.com28803840https://cdn.loom.com/sessions/thumbnails/104d6f2e84894793b4070cd41195e7c7-917e871295eb494a.gif507.3This Loom explains a system for helping mid-level software engineers transition into 200k plus AI engineering roles without quitting their job. The speaker argues that generic AI learning fails because it focuses on completion rather than shipping and interview proof, and notes AI and ML hiring grew 88% year over year with AI-skilled roles paying 43% more. The proposed AIE Accelerator includes six pillars: a skills gap audit, a personalized curriculum, production-level portfolio infrastructure, weekly mock interviews and system design, resume and LinkedIn positioning, and post-hire guidance and retention support, aiming for results in as little as 180 days. They cite that clients have landed over a million dollars in total combined offer compensation over the last six months and name experts coming from companies such as Amazon, ZocDoc, DoorDash, Cornell University, DataDog, Oracle, and Anthropic.