u/internship_seker

I’m a recent MS in Data Science grad with a solid foundation in backend dev (Spring Boot, FastAPI) and Machine Learning. However, I’m hitting a wall of "AI fatigue."

Every job description now feels like it requires mastery of the latest weekly trend—MCPs, RAG pipelines, Claude Code, and AI agents. While I’m currently diving into these, I’m struggling with two things:

1. The "Obsolescence" Fear: Will these tools be outdated by the time I master them?
2. The Job Strategy: How do I position my "Traditional Backend + DS" skills to stand out when everyone is claiming to be an "AI Engineer"?

I’ve been experimenting with Antigravity and Cursor, but I want to know how to bridge the gap from "building projects" to "getting hired" in this current climate.

• Are recruiters actually looking for MCP/RAG experience, or should I double down on my core Engineering fundamentals?
• How are you guys "future-proofing" your portfolios right now?

Would love some perspective from anyone who has successfully navigated the jump into an AI-heavy SDE role recently.