Technical depth
Are they actually an AI engineer with strong machine-learning or data-science foundations — or did they build one chatbot and change their title?
We find and assess people for what happens after the interview: their ability to do the work, take ownership and succeed in the way your company actually operates.
Recruiters based across the US, Canada and Europe · Search experience across every continent except Antarctica. So far.
A wrong hire can slow execution, consume leadership time, unsettle a small team and leave decisions that take months to reverse.
Discuss your hiring needsThe role is filled, but the work still does not move.
One person can change trust, alignment and the way the entire team works.
Choices that remain long after the hire leaves.
Salary, onboarding, management time and the cost of starting again.
Your team should not discover in the interview that the candidate was never right for the role.
Their time should go to choosing the right person — not filtering out mismatches that should have been caught earlier.
Fabricated identities, falsified experience and interview substitution can waste hiring time, expose company systems and create costly risk. Our Profile Integrity Framework is designed to identify inconsistencies before a candidate reaches your team.
In some AI talent pools we review, up to
8in 10
profiles show signs of fraud.
Are they actually an AI engineer with strong machine-learning or data-science foundations — or did they build one chatbot and change their title?
Can they explain a complex technical decision to a customer who does not care about the architecture — but is deciding whether to trust your product?
Will they keep the work moving when requirements are incomplete, priorities shift and no one has time to design the perfect process?
Would you want this person beside you during a missed deadline, a difficult customer call or a product crisis?
Yauheni KryudziukSenior Engineering ManagerI worked closely with Eugenia for two years as we scaled our global engineering team from approximately 10 to 40 engineers across multiple countries. She led full-cycle recruitment for highly technical backend roles requiring experience with high-load, large-scale distributed systems, while also helping us build the recruiting processes needed to scale.
Her work helped us increase our hiring velocity from 1 engineer per quarter to 3 to 6 engineers per quarter, while maintaining an offer acceptance rate close to 100% throughout our two years of working together. She understood complex technical requirements, operated independently, and was a true hiring partner in building both the team and the recruitment function behind it.
Bernabé RomeroSenior Product DesignerEugenia is a very talented recruiter. Our recruiting process had been taking longer than we wanted, but once Eugenia joined, we immediately started seeing strong candidates for our design team.
What I appreciated most was that she looked beyond skills and portfolios. She was great at finding people who also matched the culture of the company and the dynamics of our team, which made a real difference in building a team we genuinely enjoyed working with.
She helped us move the process forward much faster and ultimately bring in two great designers. I really enjoyed working with her and would happily do so again.
Andrew WilliamsonInterim Head of Product & Lead Product EngineerEugenia led full-cycle recruitment for our Product Manager and Product Operations roles, helping us hire 3 people in a short period: two Product Managers within one month and a Product Operations Manager. She understood the difficult balance we needed in our Product Manager profiles - strong product ownership combined with a technical background - and introduced strong, relevant candidates.
We achieved a 100% offer acceptance rate. All three were great hires, and one of the Product Managers was promoted within a year. I would recommend Eugenia to hiring managers who need to move quickly without compromising on hiring quality.
A few examples of how we’ve helped startups solve critical hiring needs and keep growing.
An early-stage company without an established employer brand needed engineers with genuine machine-learning, data-science or research foundations — within a startup compensation range.
The company needed client-facing engineers who could communicate clearly, travel to San Francisco and deploy solutions onsite with Big Tech customers.
The company was scaling from 30 to 200 people and needed engineers across multiple countries with large-scale distributed-systems experience and strong company fit.
We spend most of our lives at work — and who we work with matters most.
Eugenia FilipovichFounder, 4RecruitingAI, machine learning, data science, backend, infrastructure and specialist engineering talent.
Forward deployed engineers, solutions engineers and technical customer-facing talent.
Product, go-to-market and business roles that shape company growth.
Engineering, product and business leaders for high-growth organizations.
The structure your team needs to make a confident decision. Ongoing monthly partnerships can also include interview coordination and reference checks.
The context we build does not disappear when the role closes. It becomes the starting point for the next search.
US direct hires, with international options when the role or talent market calls for them.
AI and high-growth technology startups making specialist and foundational hires. Seed to Series D companies building and scaling core teams. US companies hiring in competitive or specialist markets.
We can start with a single search, learn how your team operates and decide together whether broader support would be useful. Further work should follow only when it makes sense for both sides.
In a 30-minute conversation, we will clarify the role, understand the hiring context and determine whether we are the right partner for the search.
If we are not the right partner, we will tell you directly.