AI Employee · Human Resources

Meet Your AI Recruitment Specialist
That Hires Top Talent 24/7

Talk to it like a real recruiter. Share your job requirements and ideal candidate profile, connect your ATS and job boards, and it will source candidates, screen resumes, schedule interviews, and manage your hiring pipeline — completely autonomously, every day.

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RA
RhinoAgents AI Recruitment Specialist
Online · Sourcing Candidates
You
We need a Senior Full-Stack Engineer with 5+ years in React and Node.js, experience in distributed systems, and startup culture fit. Source 15 qualified candidates, screen them, and schedule top 5 for first-round interviews with our CTO.
REC
On it. Searching LinkedIn Recruiter, our Lever ATS pipeline, and GitHub for matching profiles. Cross-referencing experience, stack fit, and cultural indicators. Screening against your criteria now…
LinkedIn Search ATS Pipeline GitHub Profiles
REC
Done. Found 47 profiles — 15 meet all criteria. Top 5 shortlisted by fit score. I've drafted personalized outreach for all 15 and pre-screened the top 5 with a skills assessment prompt. Scheduling first-round interviews with your CTO for next week. Approval needed before I send outreach?
View 15 Candidates Top 5 Shortlist Approve Outreach
AI Employee vs. ATS Tool

Not an ATS. An Actual Recruiter That Sources, Screens, & Schedules.

Most ATS tools track candidates you've already found. Your AI Recruitment Specialist actively goes out and finds them — sourcing from LinkedIn, job boards, and your existing pipeline, screening against your criteria, and scheduling interviews automatically.

Conversational Interface — ChatGPT-Style
Tell your AI Recruiter what you need in plain English: role requirements, culture fit, salary range, timeline. It understands nuance — "we prefer startup experience over big-tech pedigree" — and applies it consistently across every candidate.
Sources, Reaches Out, & Schedules Interviews
It doesn't just track — it acts. Searches LinkedIn Recruiter, Indeed, and GitHub. Sends personalized outreach. Screens with pre-qualification questions. Schedules first-round interviews in Calendly with your hiring manager. Full read/write access to your ATS.
Runs Hiring Tasks on Schedule
Configure it to scan for new applicants daily, send follow-ups to non-responding candidates every 7 days, run weekly pipeline reports, and alert you when top candidates are at risk of accepting other offers.
Routes Final Decisions to Hiring Managers
Your AI Recruiter shortlists candidates and sends Slack notifications to your hiring team with candidate summaries, fit scores, and interview schedules. Hiring managers review and confirm interviews — the final call stays human.
Traditional Recruitment vs. AI Recruitment Specialist
❌ Traditional Recruitment
✅ AI Recruitment Specialist
Resume screening takes 2–3 days per role
100 resumes screened and scored in under 10 minutes
Sourcing is manual — LinkedIn InMails done one by one
15 qualified candidates sourced and messaged in one request
Interview scheduling: 3–5 emails, 1–2 days to confirm
Interview scheduled automatically in Calendly — same day
Follow-ups missed when recruiters are busy
Follow-up sequences fire automatically on schedule
Agency cost: 15–25% of first-year salary per hire
Fraction of the cost. Live in under 60 minutes.
Setup in 60 Minutes

Configure Once. It Recruits Forever.

No agency briefing. No onboarding process. Configure your AI Recruitment Specialist through a conversational interface — then it runs your hiring pipeline autonomously.

1
Define Role Requirements
Tell it what you're hiring for: required skills, experience level, culture fit signals, deal-breakers, salary range, and timeline. It applies these criteria consistently to every candidate it evaluates — no bias, no variance.
Conversational Setup
2
Connect Your Tools
One-click integrations: LinkedIn Recruiter, Lever or Greenhouse ATS, Indeed, Calendly for scheduling, Slack for hiring team alerts. Full read/write access to manage your pipeline without switching tools.
400+ Integrations
3
Set Approval Rules & Schedules
Define when HITL approval is required — offer letters, executive hires, salary negotiations. Set cron schedules for daily applicant scans, weekly pipeline reports, and follow-up sequences.
Job Scheduling
4
Deploy & Fill Roles Faster
Your AI Recruiter goes live. Chat with it anytime to get pipeline updates, change priority roles, or add new requirements. Full audit trail of every candidate sourced, screened, and scheduled.
Pipeline Analytics
Live Conversations

See Exactly How You Work With It

Real conversations showing how your AI Recruitment Specialist handles candidate sourcing, resume screening, interview scheduling, and pipeline reporting.

REC
AI Recruitment Specialist
Active
You
Source 10 qualified candidates for our Senior ML Engineer role. Requirements: 5+ years Python, deep learning experience, research background preferred. Must be based in the US or willing to relocate.
REC
Searched LinkedIn Recruiter and GitHub. Found 62 matching profiles. After applying your full criteria filter (experience, location, stack, research background), here are the top 4 by fit score:
Shortlisted Candidates — Fit Score
Dr. Anya Patel — ML EngineerScore: 97 · Stanford PhD · 7 yrsReach Out
James Okonkwo — AI ResearcherScore: 93 · Google Brain · 6 yrsReach Out
Sofia Reyes — Senior ML Eng.Score: 89 · Open to RelocateReach Out
You
We have 87 new applicants for the Product Manager role from our job board posts. Screen them all against our criteria — 3+ years PM experience, B2B SaaS required, MBA or startup experience preferred. Rank top 15.
REC
Screened all 87 applicants. Scored each against your 4 criteria. Results:

✅ 15 qualified (top 15 ranked)
❌ 52 disqualified — primarily missing B2B SaaS experience
⚠️ 20 borderline — B2B experience unclear, may be worth a brief screen call

Top candidate: Maya Torres — 6 years PM at Salesforce, shipped 4 B2B products, has MBA from Wharton. Fit score: 98.

Shall I send personalized interview invitations to the top 15 and a "we'll be in touch" to the borderline 20?
You
Schedule first-round interviews for our top 5 Product Manager candidates with Sarah (hiring manager) for next week. Make sure to send them pre-interview prep materials and the role brief.
REC
Done. Here's what I handled:

✅ Sent each of the top 5 candidates a personalized interview invite with Sarah's Calendly scheduling link
✅ Included role brief, team structure overview, and pre-interview prep guide with our suggested focus areas
✅ Created ATS stage updates — moved all 5 to "Interview Scheduled" in Lever
✅ Sent Sarah a pre-interview brief for each candidate: background, fit score, key questions to probe
✅ Set reminder to follow up with any candidates who haven't booked by Wednesday

3 of 5 already booked slots. Monitoring the remaining 2.
You
Give me this week's hiring pipeline report for all open roles. Where are the bottlenecks and what do you recommend?
REC
This week's hiring pipeline summary:

📊 Open Roles (4)
— Senior ML Engineer: 10 sourced · 3 responded · 1 interview booked (bottleneck: low response rate — recommend higher-seniority personalized outreach)
— Product Manager: 87 screened · 15 qualified · 5 interviews next week ✅
— Sales Engineer: 0 qualified from job board — recommend LinkedIn direct sourcing
— DevOps Lead: 2 offers extended · 1 accepted · 1 pending

🎯 Recommendations
1. ML Engineer: Pivot to direct GitHub outreach for researchers with public ML repos
2. Sales Engineer: Post on niche communities (HackerNews, Levels.fyi)
3. DevOps: Follow up with pending offer candidate today — at risk of competing offer

Full report sent to Slack #hiring-pipeline.
Source Screen Schedule Report
Full Capability Set

Everything a Recruiter Does. Automated.

Your AI Recruitment Specialist handles the full hiring workflow — from sourcing and screening to scheduling and pipeline management.

Candidate Sourcing & Outreach
Searches LinkedIn Recruiter, GitHub, Indeed, and your internal ATS pipeline for matching candidates. Sends personalized outreach messages using role context and candidate profile details. Monitors replies and escalates responses.
LinkedInGitHubIndeedATS Integration
Resume Screening & Fit Scoring
Screens any number of resumes against your role criteria — skills, experience, education, culture signals. Scores each candidate 0–100, generates a fit summary, and ranks the shortlist for your hiring team in minutes, not days.
Criteria MatchingFit ScoringLeverGreenhouse
Interview Scheduling & Coordination
Schedules first-round interviews in Calendly with your hiring managers. Sends candidates prep materials. Generates interviewer briefs with candidate background and recommended questions. Handles rescheduling and reminders automatically.
CalendlyGoogle CalendarATS UpdatesSlack
Candidate Communication & Nurturing
Manages all candidate communication: interview confirmations, follow-up emails, status updates, rejection messages, and offer notifications — all personalized, on-brand, and on-schedule. Candidate experience maintained at every stage.
EmailPersonalizationCron SequencesATS Sync
Pipeline Reporting & Hiring Analytics
Weekly pipeline reports: candidates by stage, source channel effectiveness, time-to-hire per role, offer acceptance rate, and bottleneck identification. Surfaces where candidates are dropping off and what's driving fastest time-to-fill.
Pipeline AnalyticsSource TrackingSlack ReportsHiring KPIs
Compliance & Bias-Free Screening
Applies consistent criteria to every candidate — no bias, no favoritism. GDPR-compliant candidate data handling, EEO-aligned screening criteria, and full audit trail of every screening decision for compliance reporting.
EEO ComplianceGDPRAudit LogBias Detection
Human-in-the-Loop

Fast Pipeline. Human Final Decisions.

Your AI Recruiter moves the pipeline fast — but shortlisting, offers, and key hiring decisions always involve your team. One Slack notification, one click.

1
AI Sources & Screens Candidates
The agent sources candidates, screens against your criteria, scores each with a detailed fit summary, and ranks the shortlist. All work done autonomously with your role requirements as the guiding framework.
Custom AI Agent + Knowledge Base
2
Shortlist Sent to Hiring Manager
The agent sends a Slack notification with the top candidates: name, LinkedIn profile, fit score, screening summary, and outreach draft. All the context needed to make a decision in under 2 minutes.
Human-in-the-Loop Notification
3
Hiring Manager Approves in One Click
Approve all or select specific candidates to advance. Edit the outreach or interview brief if needed. Reject any candidates with a quick note — the agent learns the reasoning and applies it to future screening for this role.
Human Decision
4
Agent Reaches Out & Schedules
Personalized outreach sends via LinkedIn or email. ATS is updated. Calendly invites go out. Interviewer briefs sent. Every action logged with full context and timestamp in the audit trail.
Logged + ATS Synced

Approval Notifications — Live

Slack — #hiring-approvals 14 min ago
AI Recruitment Specialist
Top candidate ready — Dr. Anya Patel, Senior ML Engineer (Fit: 97)
Stanford PhD · 7 years deep learning · 3 published papers · Open to offers · Currently at Meta AI
Personalized outreach drafted and ready to send
Email — Candidate Response 1 hr ago
AI Recruitment Specialist
Positive response — Maya Torres, Product Manager
"Interested in learning more. Happy to schedule a call." · Interview scheduling link being sent. Pre-interview brief being prepared for Sarah.
Teams — Pipeline Report Mon 9 AM
AI Recruitment Specialist
Weekly Hiring Report — 4 open roles
47 candidates sourced · 87 resumes screened · 15 qualified · 5 interviews this week · 1 offer accepted (DevOps Lead) · Time-to-screen avg: 8 min
400+ Integrations

Connects to Your Entire Hiring Stack.

Your AI Recruitment Specialist integrates with every platform in your hiring workflow — from sourcing to ATS to scheduling.

LinkedIn Recruiter Lever ATS Greenhouse Workday Indeed Workable GitHub Calendly Google Calendar Slack Outlook Zoom Google Meet Resume Parsers 400+ more
Hiring Analytics

Every Candidate Tracked. Every Hire Attributed.

Full visibility into your hiring pipeline — which sourcing channels work, where candidates drop off, and what's driving your time-to-hire across every open role.

Live Pipeline Dashboard
Real-time view of all candidates by stage across every open role. See sourced, screened, shortlisted, interviewed, offered, and accepted — with time-in-stage metrics and bottleneck highlighting.
Source Channel Analytics
Track which sourcing channels (LinkedIn, Indeed, GitHub, referrals, ATS pipeline) are producing the highest quality candidates per role. Optimize spend and effort to the channels that convert.
Time-to-Hire Tracking
Measure time-to-screen, time-to-interview, and time-to-offer per role. Identify which steps are slowest and where the AI agent is compressing your hiring timeline the most.
AI Recruiter Dashboard — This Week
47
Candidates Sourced
87
Resumes Screened
5
Interviews Booked
2:00 PMInterview scheduled — Maya Torres, PM role (Sarah 3pm Thu)View
11:30 AMPositive response — Dr. Anya Patel, ML Engineer (interested)Schedule
10:00 AM87 PM resumes screened — 15 qualified, shortlist ready for reviewReview
8:00 AM10 ML Engineer candidates sourced — awaiting outreach approvalApprove
FAQ

Questions HR & Hiring Leaders Ask First

Does it actually source candidates or just screen existing ones?
Both. Your AI Recruitment Specialist actively sources new candidates from LinkedIn Recruiter, GitHub, Indeed, and other job boards — not just screens existing applicants. For passive sourcing, it searches by your required skills, experience level, location, and culture indicators, then sends personalized outreach. For active applicants, it screens resumes against your criteria and scores each candidate.
How does it avoid bias in screening?
The AI Recruitment Specialist applies your defined criteria consistently to every candidate — the same criteria, the same weight, every time. It doesn't factor in names, photos, or demographic signals. All screening decisions are logged with the exact reasoning, creating a full audit trail for EEO compliance review. You can also configure it to flag if any criteria could be interpreted as potentially discriminatory before it applies them.
Does it integrate with our existing ATS?
Yes. It integrates with Lever, Greenhouse, Workday, Workable, and other major ATS platforms. It has full read/write access — it can create new candidate records, update pipeline stages, add interview notes, and move candidates forward as stages complete. Your ATS stays the system of record; the AI agent uses it as its operational layer.
Who makes the final hiring decisions?
Your hiring team always makes final decisions. The AI Recruitment Specialist handles sourcing, screening, scheduling, and coordination — compressing the operational work by 70–80%. But shortlisting, interview evaluation, and offers require hiring manager approval via HITL. The agent accelerates the pipeline; humans own the key decisions.
Is candidate data handled compliantly?
Yes. All candidate data is handled GDPR-compliantly — stored securely, not shared beyond your organization, and deletable on request. Data processing agreements are available. The platform is SOC 2 Type II certified and all candidate PII is encrypted at rest with AES-256.
How quickly can we go live?
Most teams go live in under 60 minutes. Connect your ATS and LinkedIn Recruiter (one-click OAuth), brief the AI Recruitment Specialist on your open roles and criteria via conversation, set up your Calendly integration for interview scheduling, configure your HITL approval rules, and deploy. Our team guides your first role sourcing session.
Your AI Recruiter is Ready
Hire an AI Recruitment Specialist That
Fills Roles 70% Faster

Configure in 60 minutes. No agency. No manual sourcing. Your AI Recruitment Specialist sources candidates, screens resumes, schedules interviews, and manages your pipeline — starting today.

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