1. To help you truly understand how our recruiter system works, we have selected real conversations from users using our AI recruiter on LinkedIn.
2. These examples show how our AI recruiter handles different scenarios.
3. All data has been strictly anonymized to protect personal information.

AI Recruiter Capabilities

What our AI Recruiter does in every conversation

7×24 Instant Reply
No timezone limits, responds within seconds anytime
Multi-language
Auto-detects language, supports 50+ languages
Intent Screening
Intelligently assesses candidate interest & willingness
Answer Questions
Answers role, salary, benefits inquiries automatically
Auto Follow-up
Proactive multi-round follow-up, zero manual effort
Schedule Interviews
Coordinates time slots & sends interview invitations
Get Contact Info
Naturally collects phone, email during conversation
ABH**AVA

ABH**AVA

Company:Position:Prodevans Technologies Full-time · 2 yrs 8 mos Mumbai, Maharashtra, India Location:
Conversation Record
Hi A***y, I hope you’re doing well. I came across your profile and was impressed by your hands-on experience at P***s T***s,especially your work with Kubernetes, VMware Tanzu, ELK Stack, Prometheus, and Jenkins. I’m J*****e, an HR Recruiter at StrategyBrain, and we’re partnering with T***s S***s to find a Cloud DevOps Engineer. Your background in container orchestration and AWS infrastructure seems like a great fit. Would you be open to a brief chat to explore this role further? Looking forward to hearing from you. Best regards, J*****e HR Recruiter, StrategyBrain
ABH**AVA
Hey J*****e, thanks for reaching out! Your Cloud DevOps role at T***s sounds right up my alley given my Kubernetes, AWS, and ELK experience,I’d love to chat; I’m free most afternoons this week, what time works for you?
Hi A***y, Great to hear from you! I’d love to set up a quick chat,are you available tomorrow (Tuesday) at 3:00 PM IST or Thursday at 4:00 PM IST? Let me know which slot works best, or feel free to suggest another afternoon time. In the meantime, here’s a brief overview of the Cloud DevOps Engineer role at T***s S***s and how it aligns with your background: 1. Key Responsibilities • Design, implement, and maintain CI/CD pipelines with Jenkins and Git to streamline deployments. • Deploy and manage containerized applications on Kubernetes and VMware Tanzu for high availability and scalability. • Architect and manage AWS infrastructure (provisioning, autoscaling, cost optimization). • Build and configure monitoring/logging solutions using ELK Stack, Prometheus, and Grafana. • Collaborate with development and operations teams to troubleshoot performance issues and implement best practices. 2. Why You’re a Fit Your hands-on experience with Kubernetes, AWS, ELK Stack, Jenkins and VMware Tanzu directly matches our tech stack,this role will let you leverage your existing skills while taking ownership of critical cloud-native initiatives. 3. Career Growth & Impact • Clear path to Senior DevOps Engineer or Cloud Architect roles as you drive our cloud strategy. • Opportunity to influence tooling choices and best practices across the organization. • Dedicated learning budget and support for certifications to keep your skills sharp. 4. Resources & Benefits • Collaborative, mid-sized team with cross-functional mentorship. • Competitive salary, performance bonuses, and stock-option opportunities. • Flexible PTO, health coverage, and access to training programs. Please let me know which time works for our call and if you have any questions about the role or company. I’m looking forward to speaking with you! Best regards, J*****e HR Recruiter, StrategyBrain
ABH**AVA
Thursday at 4:00 PM IST works for me. Before we chat, could you share if this role supports remote work full-time and what the salary range looks like? Looking forward to our conversation!
Hi A***y, Great questions. 1. Remote Work T***s S***s is a remote-first organization. You can work fully remotely, with optional in-person meet-ups or team offsites in Mumbai if you’d like, but there’s no mandatory daily office attendance. 2. Salary Range For this Cloud DevOps Engineer role, the budgeted base salary is INR 15,00,000,25,00,000 per year, plus performance bonuses and stock-option opportunities. I hope this gives you a clear picture. Looking forward to our chat on Thursday at 4:00 PM IST,please let me know if there’s anything else you’d like me to cover! Best, J*****e HR Recruiter, StrategyBrain
ABH**AVA
Thanks for clarifying the remote policy and salary range,super helpful! Could you share a bit about the team’s size and structure, and how the stock-option vesting works? Looking forward to our chat on Thursday at 4.
Hi A***y, Great questions,happy to provide more detail: 1. Team Size & Structure - You’ll join a tight-knit Cloud & DevOps group of about eight engineers, led by our Cloud Infrastructure Manager. - The team blends senior and mid-level Cloud Engineers with an SRE specialist. - We operate in a flat, agile setup: you’ll own projects end-to-end and collaborate closely with backend developers, QA, security and product stakeholders. 2. Stock-Option Vesting - At joining you receive an initial option grant (amount based on level/experience). - Vesting runs over four years with a one-year cliff (25% vests after 12 months, then the balance vests monthly over the next 36). - We also offer performance-tied refresh grants on an annual basis. Let me know if you’d like any additional color before Thursday. Looking forward to our discussion at 4:00 PM IST! Best, J*****e HR Recruiter, StrategyBrain
ABH**AVA
Thanks for the details, J*****e,this really helps. One quick follow-up: how does your on-call rotation/incident response process work within the team? Looking forward to Thursday at 4 PM IST.
Hi A***y, Great question,here’s a high-level view of how on-call and incident response works on our Cloud & DevOps team: 1. Rotation Model • We run a weekly primary/secondary on-call rota among the eight engineers. Each person typically takes one week as primary and one week as secondary every two months. • The primary engineer owns initial triage and remediation; the secondary steps in if the primary is unavailable or the issue escalates. 2. Alerting & Tools • We use PagerDuty for alerting (integrated with CloudWatch, Prometheus, ELK, etc.), with notifications sent via Slack and SMS as needed. • All runbooks and escalation paths live in Confluence,these are regularly reviewed and updated after each incident. 3. Incident Workflow • When an alert fires, the primary on-call acknowledges it within 5 minutes, consults the relevant runbook, and begins remediation. • If the issue can’t be resolved within 30 minutes, it’s escalated to the secondary on-call or to our SRE specialist, depending on severity. • Major incidents trigger a Zoom “war room” with stakeholders (Dev, QA, Security) to collaborate in real time. 4. Post-Incident Practices • After resolution, we run a blameless postmortem within 48 hours to capture root causes, action items, and preventive measures. • Learnings are shared in our weekly team sync to continuously improve our processes. I hope that gives you a clear picture. Let me know if you’d like more detail before our call. Looking forward to chatting on Thursday at 4:00 PM IST! Best, J*****e HR Recruiter, StrategyBrain

How AI Recruiter Communicates with Candidates

Our AI follows a proven 5-step workflow: Smart Outreach → Needs Discovery → Intelligent Q&A → Collect Information → Schedule Interview.

1 Smart Outreach

AI analyzes the candidate's LinkedIn profile — job title, skills, industry, and career trajectory — then generates a highly personalized first message that highlights how the role matches their background and aspirations. The AI proactively reaches out at optimal times and adapts the message tone to each candidate's seniority level.

2 Needs Discovery

Through multi-round natural dialogue, AI uncovers the candidate's real career needs — including desired role type, salary expectations, work location preferences, growth priorities, and reasons for considering a change. This insight helps match them with the most relevant opportunities.

3 Intelligent Q&A

AI automatically answers candidates' questions about the role — including job responsibilities, salary range, benefits, team structure, work setup (remote/hybrid/on-site), and company culture. Responses are accurate, context-aware, and delivered instantly in the candidate's preferred language.

4 Collect Information

For interested candidates, AI naturally collects key information during the conversation — phone number, email address, salary expectations, earliest start date, and availability. All data is structured and synced to the recruiter dashboard in real time.

5 Schedule Interview

AI coordinates the candidate's and interviewer's availability, proposes suitable time slots, sends interview invitations with meeting details (link, agenda, interviewer info), and automatically sends reminders before the interview to minimize no-shows.

Experience AI Recruiter

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