Like many developers, I was frustrated by searching for AI engineering jobs across dozens of company career pages.

Most job boards are either:

• Too broad.
• Full of duplicate listings.
• Slow to remove closed jobs.
• Or label old jobs as "new."

So I decided to build AIRAG Jobs.

The idea is simple: aggregate AI engineering jobs directly from company career pages and enrich them with AI-powered metadata.

What it does

Today, AIRAG Jobs tracks 420+ verified jobs from 20 AI companies, focused on:

• LLM Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents
• ML Infrastructure
• AI Platform Engineering

Every job is scraped directly from the employer's careers page and regularly checked so closed positions disappear automatically.

Tech Stack

• Laravel
• Sveltkit
• Mysql
• AI-powered job enrichment
• Scheduled scrapers
• Queue workers for processing jobs

Each job is enriched with structured information such as skills, technologies, seniority, and role categories to make searching much easier.

One thing I learned

One interesting lesson came this week.

I thought my scraper had failed because there were zero new jobs in the last 24 hours.

After checking every company, I realized nothing was broken—there simply weren't any new AI engineering jobs posted.

I'd rather show 0 genuinely new jobs than make old listings look fresh.

What's next?

I'm expanding from 20 companies to hundreds while keeping the quality high. The goal isn't to build the biggest AI job board—it's to build one developers can trust.

If you're an AI engineer looking for your next role, or you're building something similar, I'd love to hear your thoughts.

AIRAG Jobs: https://airagjobs.com/