AI Recruitment Engine: LLM Resume Scoring and Outreach

Recruiters were spending most of their week screening resumes and chasing candidates. The skilled part of the job, talking to the right people, kept getting squeezed out by the admin.

As AI Solutions Architect, I built an end-to-end recruitment engine that does the screening and chasing for them.

LLM resume scoring. Every resume is scored in real time against the actual job requirements, not keyword matches

Multi-source sourcing. Candidates are pulled in from LinkedIn, job boards, GitHub, referrals and the ATS

Automated outreach. Twilio sends personalized SMS and voice follow-ups, so no strong candidate goes quiet

Live dashboard. Rankings, the hiring funnel and reply rates in one place

Far less manual screening, more productive recruiters, and hiring that scales without adding headcount. The team spends its time on conversations with shortlisted candidates instead of reading every resume that comes in.

The value of an LLM here is not that it reads faster. It is that it scores against what the role needs, the same way every time. Pair that with outreach that actually follows up and the funnel stops leaking.

If your recruiters are buried in resumes, this is the kind of system I build.