Alteon comments on Self-taught, built RAG + MCP + LangGraph projects

Self-taught, built RAG + MCP + LangGraph projects — realistic path to first AI job/gig? (www.reddit.com)

submitted 1 month ago by eifachposte@lemmy.durstig.online [M, B] to c/ai_reddit@lemmy.durstig.online

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Background: switched from geology to AI development, self-taught over the past year. Current stack: Python, LangChain, LangGraph, RAG (FAISS), MCP servers, Flask/FastAPI, MySQL/Postgresql, Gemini API. Built and deployed: an AI customer support agent connecting an LLM to a live database and knowledge base via MCP demo link: https://www.reddit.com/r/AiAutomations/s/wTldlOzqPo . Currently building a second project combining LangGraph agents with a real business use case (sales automation). I know the AI job market is competitive and degree-focused in some places. For people who've hired or been hired as self-taught AI engineers — what actually moved the needle for you? Portfolio depth, specific frameworks, contributing to open source, something else entirely? Not looking for generic advice, genuinely curious what worked for people who've been through this. submitted by /u/ima11

Originally posted by u/ima11 on r/ArtificialInteligence

[–] Alteon@lemmy.world 1 point 1 month ago

Lol at AI Engineer. It's like people describing themselves as AI Artists. Sure bud. Sure.

I find it insane that someone paid him money to deploy any sort of AI Agent at their workplace. I would imagine support contracts would be lucrative though.

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