Tailor Your CV for AI Engineering Roles

In this workshop we take a CV that's not focused on AI engineering roles and make it more relevant.

We build a pipeline where:

• a renderer turns YAML into Harvard-style CVs
• we take my CV (focused on founder and community work), turn it into YAML, and adjust it for AI engineering roles
• we then adapt it to a particular industry (EdTech)
• and finally, we adjust it for a specific position in that industry

You can reuse this process to adjust your CV and target it to any position.

A few rules keep the CV honest at the end:

• Role titles must be defensible in an interview.
• The headline can position you for the market.

Workshop flow

We work through the CV in this order:

• Turn strategy notes and an existing CV into a focused AI engineering story.
• Move the CV into YAML so later passes edit structured content.
• Render the YAML to a plain HTML CV and print it to PDF.
• Adapt a copy for EdTech, then another copy for one job description.
• Distill the corrections into CV-PROCESS.md and test it on another CV.

Links

We build on the job-search workflow from selecting a portfolio project. There we pick a domain, study target companies, and use their roles to decide what to build or feature.