Autonomous AI Recruiter

Challenge

The top-of-funnel job search loop — scanning boards, scoring opportunities, drafting tailored applications, tracking status — is entirely repetitive. It takes hours every week and is one of the few high-volume tasks where AI can replace human effort almost completely, provided the human stays in the loop for offers and negotiations.

What we built

We built a candidate-side autonomous agent that runs the full top-of-funnel search loop: pull opportunities from job boards and RSS feeds, score each one against the owner's preferences, generate tailored CVs and cover letters for shortlisted roles, submit through the appropriate channel, log outcomes back into the scoring model, and draft negotiation emails for approval before sending.

Result

The agent handles the repetitive discovery-and-apply loop autonomously. The human owner focuses exclusively on offer evaluation and negotiations — the high-judgement steps that benefit from human attention. The CV pipeline component is operational; ingestion and apply path are the active build targets.

Tech used

• Autonomous LLM agent loop
• Job board ingestion (RSS, email, scraping)
• Preference-based scoring model
• Tailored CV and cover letter generation
• Human-approval gate for offers and negotiations