LatestMachine LearningBuild Your LLM Engineer Portfolio (Part 2): A 3-Month Roadmap 0 like February 20, 2025Share this postAuthor(s): Maxime Jabarian Originally published on Towards AI. From Zero to Hero: A step-by-step guide to building, refining, and showcasing a RAG portfolio to launch your career.This member-only story is on us. Upgrade to access all of Medium.Authors Image Mistral AIIf youve recently graduated or are seeking your first job, this guide is tailored for you. The AI job landscape is more competitive than ever, and possessing a degree or completing academic AI projects alone wont set you apart, especially for an LLM engineer role. To differentiate yourself, its crucial to highlight practical, real-world experience that proves your expertise, especially since RAG play a vital role in this field.If youre not a member you can read it here.For those who dont know me, my journey started as an LLM Engineer 2 years ago with a degree in Astrophysics and Data Science. Before that, I was a data scientist doing research and development for some enterprises. Since then, Ive crafted sophisticated GenAI applications for several clients, leveraging multimodal models for thousands of users, and have designed comprehensive architectures for end-to-end product solutions.Before moving forward, I highly recommend reading my first article Build Your LLM Engineer Portfolio (Part 1): A 3-Month Roadmap, for setup and foundational knowledge before proceeding.With the rising demand for LLM Engineers, a strong portfolio is essential to showcase real-world expertise. As an LLM Read the full blog for free on Medium.Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AITowards AI - Medium Share this post