AI Recruitment Sourcing platform

Search, screen, and engage the right candidates with precision at scale.

Source Ryte-fit Candidates

recruitRyte helps you find, shortlist, and reach out to candidates by understanding real, contextual experience — not just keywords or filters.

⚡️ 800M+ Profiles   •   🔍 Reasoning-Based Shortlisting   •   💬 Conversational AI

Find the Right Fit
Search by job description, natural query, boolean query, job title/keywords.

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Job Title / Keywords
Example: “Senior Java Developer with microservices experience in New York”
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🔍 Hang tight! We are finding the best matching profiles for you. This might take a moment...
👋 Hi Jane! How can I help refine your search?
Your Search Summary :
Role: Data Engineering, ETL Engineer +6 more (Current)
Location: New York, NY (within 50 km)
Company Size: Emerging (up to 50 employees), Small (51-200 employees), Mid-Sized (201-1000 employees)
Suggestion :

This search returned many profiles. Narrowing the criteria can surface better matches. Here are a few recommendations.

Need something else? Just type your requirement below and I’ll update the results.

experience with 5-7 years.
Role: Data Engineer
Location: New York, NY
Experience: 5-7 years
Target Companies: Hedge funds with less than 1000 employees

The updated search will focus on Data Engineers in New York with 5-7 years of experience at smaller hedge funds.
Would you like to refine the search further, or should I run Smart Screening to rank the best-fit candidates for you?
646 Profiles 1 selected Email Export My List

John Doe 6 Yrs Exp.

New York, New York, United States
Senior Data Engineer
Senior Data Engineer at Centiva Capital
Columbia University in the City of New York
John Doe worked as a Data Engineer at Spruce from Oct 2019 to Jun 2021 and as a Senior Data Engineer at SIMON Markets LLC from Jun 2021 to Aug 2022. Currently, John is an Senior Data Engineer at iCapital since Aug 2022.

Saige Fuentes 6 Yrs Exp.

New York City Metropolitan Area
Data Scientist
Data Engineer at Citadel
Rutgers Business School
Saige Fuentes is a Data Engineer at Citadel, a Hedge Fund in the Financial Services industry. Rohit has previously worked as a Senior Data Scientist at ICE in New York from June 2021 to May 2025 and as a Financial Engineer at The Oakleaf Group from August 2019 to June 2021.

Bowen Higgins 6 Yrs Exp.

New York, New York, United States
Data Engineer
Data Engineer at Tiger Global Management
Master Degree at Columbia University in the City of New York
Bowen Higgins is a Data Engineer at Tiger Global Management located in New York, United States. He previously worked as Information Security AVP - Data Loss Prevention (DLP) at BNP Paribas from August 2020 to November 2024 and as Information Security Specialist SOC-DLP at BDC from November 2024 to July 2025. He also has experience as Software Quality Assurance at Cerence Inc. in Montreal, Canada Area.

Jamie St. James 5 Yrs Exp.

New York, New York, United States
ESG Data Engineer Analyst
ESG Data Engineer Analyst - DLP (Data Loss Prevention) at BDC
Master Degree at Concordia University
Jamie St. James is an IT Security Specialist - DLP (Data Loss Prevention) based in the New York, New York, United States. She has experience as a Senior Business Intelligence Analyst, IT Internal Controls & Cybersecurity in Montreal. Vanessa also worked as a SAP Security Lead at McKesson Canada in St. Laurent, Quebec.

Mark Twain 7 Yrs Exp.

New York, New York, United States
Software/Data Engineer
Software/Data Engineer at Bank of America Merrill Lynch.
Bachelor of Science at University of California
Mark Twain is an Software/Data Engineer - at Bank of America Merrill Lynch based in the New York, New York, United States. She has experience as a Senior Business Intelligence Analyst, IT Internal Controls & Cybersecurity in Montreal. Vanessa also worked as a SAP Security Lead at McKesson Canada in St. Laurent, Quebec.

Key Features to find the Ryte-fit candidates

recruitRyte helps you search, refine, and shortlist candidates using real experience signals — not just keywords.

Contextual Search

Find candidates by role intent, adjacent domains, and real experience signals — not just keywords.

Adjacency & Look-Alike Discovery

Expand beyond exact matches to uncover comparable trajectories, scope, and environments.

Reasoning-Based Shortlisting

See clear fit analysis across skills, scope, seniority, and relevance — so you can shortlist with confidence.

Conversational Refinement

Iterate naturally as you think — adjust seniority, titles, industries, and company sets without filter gymnastics.

Assisted Outreach

Personalize outreach and manage follow-ups without losing control, tone, or deliverability discipline.

Global Talent Surface

Search across 800M+ refreshed profiles to support long-tail, multi-market, and hard-to-source requirements.

How recruitRyte works

A simple loop: describe → reason → refine → outreach.

1

Search (in plain English)

Describe the role, constraints, and “similar companies.” Paste a Job Description, a resume, or a LinkedIn profile.

2

Reasoning-based shortlisting

recruitRyte ranks candidates using contextual signals—not just keywords—and explains why someone fits. Add your own screening questions (even subjective ones) to sharpen the shortlist.

3

Outreach & collaborate

Unlock verified contact details, run email outreach, and share shortlists with stakeholders—fast.

Built for outbound-first hiring where context, reasoning, and fit matter more than keywords

recruitRyte is designed for professionals who actively source, evaluate, and engage talent — not for post-and-pray hiring, inbound-only workflows, or high-volume resume screening.

If your hiring relies on judgment, context, and outbound thinking — recruitRyte was built for how you already work.

What Our Customers Say

Frequently Asked Questions

recruitRyte is a conversational sourcing platform with reasoning-based shortlisting—built for outbound recruiting. Describe the role naturally, get targeted candidates, and refine fast without filter gymnastics.

recruitRyte is best when the role is niche, senior, or hard-to-fill and you’re sourcing outbound. If you’re mostly managing inbound applicants, an ATS is the better primary system.

Keyword search matches exact terms. Semantic search improves recall. recruitRyte goes further by evaluating contextual fit signals (role scope, domain relevance, scale, tech equivalence) and showing the reasoning behind rankings.

Yes. You can add role-specific questions—including subjective ones—and recruitRyte uses them to improve ranking and reduce false positives.

Paid plans include unlimited searches. Free accounts include a trial period; plan limits apply to profile visibility and contact unlocks.

recruitRyte supports exports and shareable shortlists today. For ATS integrations, Team/Enterprise customers can request integration options based on their ATS.

Hiring is hard. Finding the right candidates shouldn’t be

Find candidates whose experience matches the real demands of the role — even when titles and keywords don’t.