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
Raj**waj

Raj**waj

Company:R**yPosition:AI EngineerLocation:Toronto, Ontario,Canada
Conversation Record
Hi R***h, I’m J***e from StrategyBrain. I came across your profile and was impressed by your work at R***y on on-call AI SRE and your hands-on experience optimizing inference with TensorRT, DeepSparse and Jetson Nano. We’re partnering with N***s on a Principal AI Engineer role focused on computer vision and LLM platforms, and I think your background could be a great fit. Would you be interested in a brief chat to learn more?
Raj**waj
Hi J***e, thanks for reaching out! With my background at R***y on on-call AI SRE and optimizing inference with TensorRT and DeepSparse, the Principal AI Engineer role at N***s sounds right up my alley. I’d love to chat,let me know what times work for you.
Hi R***h, great to hear back from you! A bit more on N***s and the Principal AI Engineer role: • Company & Vision: We’re a fast-growing AI startup delivering end-to-end computer vision and LLM solutions for enterprise clients. Our culture is hands-on, collaborative and innovation-driven. • Key Responsibilities: , Lead design and development of scalable CV and LLM pipelines using LangChain and advanced prompt engineering. , Optimize inference performance with TensorRT, DeepSparse and NVIDIA NGC; deploy edge solutions on Jetson Nano. , Architect and maintain on-call AI SRE practices to guarantee high availability of critical ML services. , Mentor junior engineers, collaborate cross-functionally, and drive best practices in code generation and system reliability. , Research and prototype new AI capabilities to continuously enhance our product offerings. • Why It Fits Your Background: Your on-call AI SRE work at R***y and hands-on inference optimizations align perfectly with our needs,and you’ll have the chance to own critical production systems end-to-end. • Growth & Resources: You’ll report directly to the CTO, shape our AI roadmap, and have a professional development budget, equity package and regular tech workshops to help you level up. Does this overview resonate? Do you have any questions about the role or our team? If you’re ready to chat, I’m available for a 30-minute call (Toronto time) on: - Tuesday 10:00,12:00 PM EST - Wednesday 2:00,4:00 PM EST Let me know which slot works best for you, or suggest another time. Looking forward to our conversation!
Raj**waj
This sounds like a perfect match given my on-call SRE and inference optimization work at R***y,Tuesday at 11:00 AM EST works great for me. Looking forward to chatting and learning more about the team structure and roadmap!
Hi R***h, Great,Tuesday at 11:00 AM EST is all set. Could you please share your preferred email address (or phone/WhatsApp/Telegram) so I can send over a calendar invite and meeting details? If you have your latest resume handy, feel free to forward it as well so I can familiarize myself with your background before our chat. Looking forward to speaking with you and diving into N***s’ team structure and roadmap! Best, J***e HR Recruiter, StrategyBrain
Raj**waj
Sure,please send the invite to r***@***.com. I’ve just attached my latest resume; looking forward to our chat on Tuesday at 11 AM EST!
Hi R***h, Thanks for sending over your resume,I’ve just sent a calendar invite to r***@***.com for our call on Tuesday at 11:00 AM EST. You’ll see a Zoom link, a brief agenda, and the names of our attendees (including our CTO, who you’ll report to). During the 30-minute discussion, we’ll cover: • N***s’ team structure and AI roadmap • Your experience with on-call SRE and inference optimization • Next steps in the process Please let me know if you have any questions beforehand or if there’s anything specific you’d like to discuss. Looking forward to our conversation! Best regards, J***e HR Recruiter, StrategyBrain
Raj**waj
Thanks for the invite, J***e! The agenda looks great and I don’t have any questions right now. Looking forward to discussing the AI roadmap and my on-call SRE and inference optimization work on Tuesday.
Great, R***h,thanks for confirming! I’m looking forward to diving into your on-call SRE and inference optimization work at R***y and sharing N***s’ AI roadmap. If anything comes up before Tuesday, just let me know. Otherwise, see you at 11:00 AM EST! 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.

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