Hi everyone,

I am a final year student specializing in Data Science, currently working as an AI Intern. I’m preparing to apply for Full-Time AI Engineer roles and would appreciate some honest feedback on my resume.

I’ve focused my experience on building end-to-end autonomous systems and RAG pipelines rather than just experimenting with prompts.

I’m looking for specific advice on:

Technical Impact: Does the heavy focus on Agentic workflows (LangGraph) and specialized RAG (GraphRAG) carry weight for entry-level/junior roles?

Infrastructure vs. AI: I’ve included my experience with web scraping pipelines, FastAPI, and GCP. Does this show enough "Software Engineering" capability for an AI Engineer role?

The "Must-Haves": Looking at the current 2026 landscape, what am I missing? Should I focus more on LLM Evaluation frameworks or go deeper into fine-tuning?

Formatting: Is the resume too dense, or does the metric-heavy approach work for ATS and recruiters?

[留言]

为什么值得关注

能改变理解方式，而不只是重复常识；符合当前抓取需求；它提供了新的理解或解释，而不只是表面观点

来源：reddit，领域：tech，保留分：0.61