Want to build an AI project at your job? Join my one-day AI Engineer Foundations workshop in January (8 spots left): https://parsity.io/ai-engineer-day
For the last couple of years I’ve told developers to learn AI engineering, switch jobs and chase the title. That advice skipped the thing that actually worked for me: building an AI project at the job I already had.
I’ve done it twice. At my last company, I built a semantic search POC in my first week or two, and it became the product they sell to major record labels. At my current company, a hackathon project using an extraction agent to fill out a complex form is now going to production.
In this episode:
- Why an internal POC beats a tutorial project on your resume and in interviews
- 3 high-value project types: semantic search, extraction agents for complex forms, and support assistants (RAG, chat or voice AI)
- Why an MCP server is becoming table stakes if your company sells API access
- How to pick a project: where’s the data, who’s feeling the pain, and can you demo it in a week?
- How to pitch it: lead with the problem it solves and what it costs, not the jargon
- Running a hackathon to get the halo effect
In the workshop, you’ll build a RAG pipeline and an agent with tools, human approval, evals and observability, then map it to a use case at your own job. You’ll leave with a working app, or I’ll work with you until it works, or I’ll refund you.
Use your company's learning budget.
Grab a seat: https://parsity.io/ai-engineer-day
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