Originally published on AIdeazz — cross-posted here with canonical link. Building autonomous job search systems forces uncomfortable questions. Unlike optimizing ad clicks or routing packages, automating how people find work touches identity, survival, and societal structures. After shipping production agents that handle everything from customer support to financial analysis on Oracle Cloud, I've learned that technical elegance means nothing if your system amplifies existing inequalities or reduces humans to probability scores. The Uncomfortable Reality of Job Matching at Scale Most autonomous job search AI discussions skip the messy middle — that space between "AI reads job posts" and "candidate gets hired." The reality involves parsing intentionally vague requirements, navigating ATS systems designed to exclude, and making value judgments about what constitutes a "match." I've built multi-agent systems that process thousands of job listings daily.…