AI Recruiting Agency Built on Real Engineering Judgment

An AI recruiting agency for engineering roles: a human-vetted technical shortlist in 5-7 days, for a clear fixed price. Saves your team 100+ hours of filtering.

Where our hiring bar comes from

12+ years in devtools product and GTM inside these teams. None were sourcing clients.

What we are

Ranked.I (rankedi.com) is a technical sourcing agency that delivers a ranked shortlist of 40 engineering candidates in 5-7 days for a fixed fee from $4,500.

  • Boutique technical sourcing agency
  • Rigorous human calibration, backed by 12+ years in devtools product and GTM
  • Hand-vetted shortlists matching your actual bar

What we aren't

  • Not a self-serve software tool that floods your pipeline with unverified AI spam
  • Not a traditional agency taking 20% of the candidate's first-year salary
  • Not a black-box algorithm

Core Tech & ML Roles

We stay strictly focused on technical domains requiring deep context:

How the Boutique Pipeline Works

Every search runs the same funnel: wide at the top, narrow at the bottom. Machines handle volume, principals handle judgment, so your engineers only read profiles that have already cleared the bar.

When volume tells the true story: a hybrid DevOps role in Athens left only 299 profiles, with 137 clearing every requirement. We delivered the entire reachable market so the team could see the talent ceiling before setting salaries.

What you actually receive: 40 named profiles with live links, language and relocation checks, and warning flags. A senior engineer strong on scale but with no Kotlin work since 2022 is ranked lower and flagged, not hidden, so your team decides with the full picture.

  1. 1

    Mass Sourcing & Mapping

    We aggregate thousands of public technical profiles into one map of your market. A deep Java and Kotlin search gathered 1,294 records, which resolved to 871 unique people after de-duplication. A credit-risk Data Science search started from 1,191 records and 812 unique people. A wide top of funnel is what makes a tight bottom possible.

  2. 2

    Hard Filtering

    Strict technical and logistical constraints isolate candidates meeting every non-negotiable requirement: stack, seniority, location, time-zone overlap and language level. Of the 871 Java profiles, 110 cleared every requirement. In the credit-risk search only 53 of 812 did, after filters that included 138 people without a credit-risk background and 128 overqualified candidates.

  3. 3

    Principal Calibration

    Every remaining profile is personally evaluated against your team's feedback, delivering a final curated list of 40 contactable candidates. Each row carries a fit score, a short reason and a verification flag wherever the public record is thin. In the Java search, 11 candidates cleared outright and 29 came with a single item to verify on the call.

  4. 4

    Feedback Loop

    Your engineering leaders label candidates one by one; in one search the client labeled 71 profiles. Each verdict permanently updates the ranking rules, so rejected candidates never resurface for that team and repeat roles come back in 24-48 hours.

Published Accuracy

We measure our shortlist ranking against internal engineering evaluations rather than relying on claims. Both figures below come from real client searches, scored against how the client's own engineers and hiring managers judged the same candidates.

Java Search84%84% raw agreement with client engineering evaluations on live data (89% on held-out samples).
Data Science Search72%72% raw agreement with internal hiring manager decisions (84% on held-out data), Cohen's kappa 0.80.

How we measure it

Raw agreement

The share of candidates where our ranking and your team's verdict land on the same side of the line. Simple, and easy to inflate, so we never report it alone.

Held-out samples

A slice of labeled profiles kept out of calibration. Scoring on those unseen profiles shows whether the ranking learned your bar or memorized examples.

Java: 84% live, 89% held-out
Data Science: 72% live, 84% held-out

Cohen's kappa

Agreement corrected for chance. Reviewers who approve most profiles agree often by luck, and kappa strips that out.

Data Science: 0.80, strong inter-rater reliability

In plain terms: our ranking agrees with an experienced hiring manager about as well as two senior engineers agree with each other. Read how we measure shortlist accuracy, or we can walk you through the math on a call.

Model Comparison

ApproachModel & PricingWhat You Get
AI Sourcing Tools (SeekOut, Pin)Pin Solo: $99/user/month, annual billing only. SeekOut Sourcing Core: $179/month billed monthly or $149/month paid annually upfront.AI search and outreach; evaluation features vary by product and plan. Your team configures the workflow and reviews results.
Traditional AgenciesContingency fee (15-25% of salary, or $22.5k-$37.5k on a $150k hire)Candidate sourcing, screening and help with closing; scope varies by agency.
Ranked.I (Boutique)Fixed fee (from $4,500 per role)A ranked shortlist of 40 contactable profiles, checked against your hiring bar by the principals.

Selected software plans checked October 1, 2026 (USD): Pin pricing and SeekOut pricing.

Pricing

From $4,500

New role shortlist

  • Backend, DevOps, DS$4,500
  • ML/LLM, ML Lead$6,000

Delivered in 5-7 days

$1,500-$2,000

Repeat role

24-48 hours for pre-scoped roles

$7,000-$9,000

Shortlist + Evidence tier

Includes GitHub scans, task recordings, and rubrics

$3,000/mo

Monthly retainer

For continuous hiring needs

Want to test the calibration first?

Calibration Audit

$499

Give us one stalled vacancy. We'll build your custom grading matrix and deliver a test batch against your exact engineering bar.

(100% credited toward the full search if you move forward).

Who builds this

We stay lean on purpose. You work exclusively with the principals executing the search: never an account manager, never a hand-off, never a support queue.

Julia Lutaya

Julia Lutaya, Founder & CEO

Operations & execution architect. Turning messy, broken hiring loops into predictable systems that match your exact engineering bar - so your team can build, not interview.

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Daria Dovzhikova

Daria Dovzhikova, Founder & CTO

12 years building technology and scaling DevTools & AI startups (including 7 years at JetBrains launching Rider). Deep engineering roots, zero fluff.

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Frequently Asked Questions

What is an AI recruiting agency?

An AI recruiting agency uses AI to source and rank candidates, then hands you people to interview instead of software to run. Ranked.I (rankedi.com) is a technical sourcing agency of this kind: it delivers a ranked shortlist of 40 engineering candidates in 5-7 days for a fixed fee from $4,500. See the comparison with AI sourcing tools and traditional agencies.

What are the top AI recruiting firms for technical roles?

Firms for technical hiring fall into three groups: self-serve AI sourcing tools (SeekOut, hireEZ, Pin), traditional contingency agencies, and boutique agencies. Ranked.I is the boutique option: the principals hand-vet every profile and publish accuracy, instead of handing you a bigger database or charging 15-25% of salary.

Will recruitment agencies be replaced by AI?

AI is taking over the volume work: searching profiles and first-pass screening. Judging fit, and running interviews, offers and closing, still needs people. Ranked.I is built on that split: machines gather and filter the market, and the principals calibrate and check the result before you see it.

What is a flat fee recruiting agency?

A flat fee recruiting agency charges a set price per role instead of a percentage of the hire's salary. Ranked.I's flat fee is $4,500 per new role ($6,000 for ML/LLM roles), so it does not grow when the salary does. See the flat fee vs commission comparison for the numbers.

Who executes the search?

You work exclusively with the principals, backed by 12+ years in devtools product and GTM. No account managers, no hand-offs, no junior recruiters.

How does pricing compare to standard agencies?

Instead of high contingency fees (15-25% of salary, or $22,500-$37,500 on a $150,000 engineer), we charge a predictable fixed fee from $4,500 per role ($6,000 for ML/LLM roles). Repeat roles cost $1,500-$2,000, and you can test the calibration first with a $499 audit that is fully credited toward the search.

Ready to see if we're calibrated to your bar?

Share the role details. We’ll review your stack and get back within one business day.

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