CAREER

AI Engineer Portfolios Need Production Evidence

A project checklist that proves more than a polished chatbot screenshot.

AI engineer portfolioRAG projectAI deployment skills

Why this matters

Hiring teams want evidence of data handling, evaluation, deployment, monitoring and cost control.

The practical takeaways

  • Show an architecture diagram and trade-offs.
  • Publish evaluation results and known limitations.
  • Include deployment and observability details.

How to apply it

Start with one measurable workflow, define the failure boundary, and publish the result with enough context for another builder to reproduce the decision. The goal is not to chase every announcement; it is to turn useful changes into better products, skills and deployment practice.

Editorial note

This is an original FDE editorial synthesis based on the linked source. It is not a translation or reproduction of the source article.