Build Your LLM Engineer Portfolio (Part 2): A 3-Month Roadmap

Author(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.

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If you’ve 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 won’t set you apart, especially for an LLM engineer role. To differentiate yourself, it’s crucial to highlight practical, real-world experience that proves your expertise, especially since RAG play a vital role in this field.

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For those who don’t 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, I’ve 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.

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Published via Towards AI