Full-Stack AI Recruiter
for Fast Growing Startups
Get Pre-Vetted, AI Interviewed Engineers
Book a CallBacked by
CodeRound
Ritik Agarwal
TrackersCompanyCandidates
All Candidates
Show: 10
Sort by: Newest Apply
| Candidates Name | Job Wanted | Applied On | Recent Works | Option |
|---|---|---|---|---|
Priya Nair | Front End Engineer | 22/12/2025 | AAviso.AI | |
Vedant Sharma | Backend Engineer | 06/05/2025 | EEmertex | |
Rohan Kapoor | AI Engineer | 15/02/2025 | FFactors.AI | |
Aarav Mehta | DevOps Engineer | 31/12/2025 | PPolynomial.AI | |
Isha Reddy | NLP Engineer | 13/12/2025 | QQuartic.AI | |
Arjun Sinha | CV Engineer | 13/01/2025 | EEmertex | |
Meera Iyer | Backend Engineer | 09/03/2025 | PPorter | |
Kavya Deshmukh | ML Engineer | 25/11/2025 | AAirbnb | |
Aditya Choudhury | DevOps Engineer | 10/03/2025 | JJar | |
Ritvik Bansal | Front End Engineer | 02/02/2025 | PPlum |
50+ Startup Trust CodeRound to Hire Top Tech Talent
CodeRoundWhy?
Why Founders Choose CodeRound AI?
7 Days to Your Next Hire
Hire the right candidates in days — not months — so your team can scale without the usual delays and bottlenecks of traditional hiring cycles
4:1 Interview-to-Offer Ratio
Our AI delivers only the top 3% engineers who ship fast, have startup experience, and build with GenAI
75% Engineering Bandwidth Saved
Engineers should ship, not screen. We streamline hiring so your team stays focused on delivering product
CodeRoundWork Flow
Hire the Best, Skip the Noise
CodeRound AI is for founders who need exceptional engineers yesterday— without draining engineering hours on unqualified candidates
Top Tech Talent Sourced by AI
Go beyond traditional databases; Our AI sources 25K+ candidates weekly by scanning GitHub, Reddit, Stack Overflow, and beyond to uncover top-tier tech talent
AI-Powered Interviews
Our multi-agent AI interviewer conducts in-depth technical interviews that assess a candidate's ability to solve problems, think critically, and navigate complex challenges through real-time interaction
A Multi-Agent Stack Built for Technical Interviews
Our multi-agent workflow accurately evaluates a candidate's ability and overall fit, guaranteeing a well-rounded assessment
- Calibration Agent : Adapts difficulty in real time
- Support Agent : Gives direction for deeper problem-solving
- Proctor Agent : Prevents cheating
- Evaluation Agent : Scores skills with precision
- Primary Agent : Engages with the candidate and collaborates with other agents for a seamless interview process
AI Interview Score
Precise Matching with Retrieval-Augmented Generation (RAG)
Beyond keywords—our proprietary RAG system intelligently matches candidates to your exact requirements, ensuring optimal alignment
Candidate Fit Overview
Technical Match90%
Experience Fit60%
Project Relevance85%
Trusted by startups funded by
CodeRoundImpact
Last Month at a Glance
21,000+
AI-Interviewed Candidates
63
Active Positions at Startups
26
Successful Hires
CodeRoundTestimonial
What Our Customers Say
Hear how top teams are hiring better, faster with CodeRound's AI.
CodeRoundFAQs
Explore Our FAQs
Find quick answers to commonly asked questions about CodeRound AI
We achieve a 4:1 interview-to-offer ratio—4x better than the industry standard of 16:1—by using our proprietary AI system that combines adaptive GRE-style assessments, multi-agent AI interviews, and intelligent candidate matching. This delivers the top 3% of candidates in just 7 days, eliminating manual screening and human bias while saving 75% of your engineering team's time typically wasted on unqualified candidates
CodeRoundDiscover New AI-Hiring
Hire first. Pay later.
Smarter hiring, zero upfront risk. Built for lean teams that need to move fast