AI Hiring

Assistant

for Every Step of Recruiting

At Makehire, we simplify the hiring and candidate management process by incorporating AI at every stage, helping you make unbiased, data-driven decisions.

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We are here every step of the way

Makehire will accompany you through the entire interview process, from pre-screening to the final decision. Free up your time to focus on what matters in your role, while we handle the rest and provide crucial insights to help you make informed decisions.

AI-Generated Job Descriptions

Get job descriptions that speak to top talent. Our AI creates job descriptions with project details, making roles clear and compelling for the best candidates.

Resume Gaps Follow-Ups

If a resume lacks details, our AI sends follow-up questions to fill the gaps. As soon as the candidate replies, their profile instantly updates, [so you always have the complete picture.]

You need to ask about

Experience with Nest.js

Experience with TypeScript

REST API Development Experience

Pre-Screen Questions Generation

We generate personalized pre-screen questions for every candidate, designed to assess their soft and hard skills, and overall fit for the role and company culture

Resume Analysis

We use advanced AI algorithms to analyze candidate resumes, helping identify the perfect fit for each job.

Personalized Feedback

Keep candidates engaged with feedback that feels personal. After every step, our system sends tailored insights, helping candidates stay informed.

AI Pre-Screen Interview

Our AI conducts pre-screen interviews, recording each session and producing a transcript, summary, and assessment for a clear, data-backed view of each candidate.

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Recruiter Interview

Every recruiter-candidate interview is recorded, transcribed, and summarized, with a full evaluation included—so you can review key details and insights at any time.

Summary

5 min read

The candidate displayed strong proficiency in Node.js, answering 70% of our questions accurately. They demonstrated a deep understanding of asynchronous programming and database integration, showing expertise in managing asynchronicity and choosing optimal databases for different scenarios. The candidate's approach to scalable architecture was thoughtful, reflecting a solid grasp of system design principles. They also exhibited good knowledge of code testing practices, ensuring code quality and reliability. However, there were gaps in their experience with CI/CD practices and performance optimization, areas where they seemed less confident. Their leadership and mentoring skills were satisfactory, but their methods to keep up with Node.js trends were not as strong as expected. Overall, the candidate possesses a robust foundation in Node.js with some areas for growth, particularly in CI/CD and staying abreast of the latest developments in the Node.js ecosystem.

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Detailed Candidate Profiles for Clients

Clients get more than a resume. Each candidate’s profile includes stage summaries and highlights, offering a full picture—not just the basics.

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