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Live webinarCareerPortfolioInterview Prep
Portfolio projects that actually get you hired
Your clone of LangChain is not going to get you hired. Here is what will.
Param Harrison
Cofounder, AEOsome.com · Chief Mentor, learnwithparam.com
60 minutes · intermediate
About this session
Why this one matters
Most AI engineering portfolios look the same to hiring managers: a clone, a tutorial follow-along, and a notebook. This session walks the portfolio projects that cut through: the shape they have in common, the judgment they signal, and the way to talk about them in interviews. Built from teardown sessions with hiring managers at AI-native companies.
Who should watch
- Engineers job hunting for AI engineering roles this quarter
- Career switchers building their first AI portfolio
- Mid-level engineers whose portfolio is getting ignored
Topics we'll cover
What's on the menu
- What hiring managers skip and what they read in a portfolio
- The shape a hire-able portfolio project always has
- Judgment signals interviewers look for in the README alone
- How to describe your project so it answers the real interview question
- Teardown: a portfolio that got callbacks versus one that did not
What you'll walk away with
Leave with a blueprint
- Pick a portfolio project that signals production judgment, not tutorial completion
- Write a README hiring managers read past the first line
- Scope a project so you can actually finish it in a weekend and a half
- Talk about your project in interviews without sounding like a walkthrough
- Walk out with a project shortlist picked for the roles you want