EasySoftHire
Anatta
Shopify Frontend Developer
Closed in 6 weeks. First candidate in 5 days.
AI and ML engineers who shipped to production
First pre-screened profiles in 7 days, sourced across Europe and LATAM. Fixed fee and a free replacement within 3 months.
Trusted by
- Gopuff
- Waitrose
- CreatorIQ
- Anatta
- Fulcrum
- INSART
- DataSpot
- TheraPanacea
- P3 Media
- HTTads
- IntraFlow
- ProxySeller
- LighthouseAI
- Prism
- Valor
Numbers that matter
1 in 2
Clients who come back
1,000+
Candidates in our talent pool
97%
Offer acceptance rate
30 thousand dollars per client
Saved a year on negotiations
Why it's different
AI/ML roles are the hardest engineering hires you’ll make
The talent pool is thin, credentials are hard to verify, and the market moves fast. AI job postings grew 78% last year — the talent supply didn't. The average time to hire an ML engineer is 89 days. We cut that to 7 days to first candidates.
Market insight
AI Talent Gap Is Widening
Demand for AI specialists grows 3× faster than supply
AI/ML roles we fill
Every AI/ML specialization, one vendor
From foundational data science to production LLM engineering — we place specialists across the full AI stack.
ML & AI Engineers
PyTorch, TensorFlow, Scikit-learn. Engineers who build and ship production-ready models.
LLM & GenAI Specialists
RAG pipelines, fine-tuning, LangChain. Engineers who take language models to production.
MLOps & Infrastructure
Model serving, pipelines, monitoring at scale. Engineers who keep AI systems running.
Data Scientists & Analysts
Statistical modeling, feature engineering, A/B testing. People who find signal in noise.
NLP Engineers
BERT, GPT fine-tuning, named entity recognition. Engineers who make machines understand language.
Computer Vision Engineers
Object detection, image segmentation, YOLO. Engineers who teach systems to see.
AI Research Scientists
Custom architectures, deep learning research, novel model development.
How we source
Top AI/ML candidates aren’t on job boards
Our recruiters run targeted outreach across Eastern Europe and LATAM, reaching ML engineers who aren't actively looking. We tap GitHub contributor lists, Kaggle competition networks, academic research communities, and developer channels — and deliver first candidates within 7 days of your intake call.
Candidate verification
Every AI/ML candidate verified before their profile reaches you
AI-generated code portfolios and inflated ML credentials are a growing problem — cloned GitHub repos, LLM-written code samples, inflated benchmark claims. Our verification process catches it before it reaches your team.
Our promise
6 verification layers before submission
Every developer passes all six checks before their profile is submitted. If something slips through, we replace them within 7 days at no cost to you.
LinkedIn audit
Account age, connections, activity. Profiles under 3 months auto-flagged.
Social media check
Name searched in English, Ukrainian, Russian across public sources.
AI interview defense
No virtual backgrounds. Mobile video switch via WhatsApp. Closed-eye questions.
ID verification
Driver's license shown on camera when identity is in doubt. Non-invasive.
Dual employment check
Cross-checked for hidden parallel jobs — a known issue in the EE market.
Reference verification
Calls to last 3 employers. Written reference from work email. Confirmed via LinkedIn.
Technical screening
What we check
Every candidate takes a technical screen led by our engineer-founders before you see their profile.
Fundamentals
Which algorithm they picked, which metric they used, and why.
Production experience
Whether their models ever ran in production, not only in a notebook.
Live code
They write code live on the call. Repos are easy to copy.
Specialization depth
LLM, vision, NLP and MLOps get different questions. Different jobs.
Stacks we screen
The Trinity Guarantee
3 commitments. Zero compromises.
Every hire is backed by verified references, 3 months of free replacement, and 3 monthly check-ins.
- 3-month replacement guarantee for any reason, free of charge. Replacements backed by the same strict anti-fraud and AI detection filters as the first hire.
- Last 3 employers called directly — LinkedIn-verified, corporate email confirmed. Structured questions, written reference available.
- 3 monthly check-ins during the first 90 days — aligning expectations, catching friction early. Structured post-hire support focused on long-term ownership.
Pricing model
Fixed price. No hidden costs
Percentage-based models align recruiter incentives with higher salary offers. We charge a fixed fee per successful hire. One number, no surprises.
Success stories
Hiring results that speak for themselves
P3 Media
Shopify Full Stack Developer
Deep-stack. Onboarded from Day 1.
HTTads
Node.js Developer · Valencia
100% retention. Zero compromise on quality.
Client reviews
A 5-star recruiting agency on Clutch
Verified reviews from founders and hiring managers at tech companies, published on Clutch.
Closed in 1–1.5 months what we couldn't close in 5 months on our own. They understood our needs from day one and delivered exactly the caliber of candidates we were looking for.
IntraFlow EasySoftHire became a real extension of our HR team. Professional communication, fast turnaround, and candidates who actually fit our culture. We've continued working with them on multiple roles.
Mount Rocks Their fixed-price model meant no surprises, and the 3-month guarantee gave us confidence to move fast. The first batch of candidates arrived within a week — all strong, all relevant.
Verified Client
Clutch5.0 out of 5
A-player newsletter
Your unfair advantage in recruiting. Regular guides, news, hiring tips.
Transparency first
FAQ
Common questions before the first call.
What AI and ML roles do you recruit for?
Machine learning engineers, data scientists, NLP engineers, computer vision specialists, MLOps engineers, and AI research engineers. We cover both applied and research-oriented roles across all experience levels.
How quickly can you place an ML engineer?
First pre-screened profiles within 7 days of the intake call. Full placement starts from 2 weeks, depending on specialization depth and team interview pace.
How do you verify AI/ML technical skills?
Every candidate goes through a structured 45–60 minute technical screening covering ML fundamentals, system design, and role-specific depth — LLMs, CV, NLP, or MLOps. We also review GitHub, portfolio projects, and publications where relevant.
What if the hire doesn't work out?
Free replacement within 3 months, for any reason. We run reference checks from the last 3 employers before submission — that's the preventive layer.
What's your pricing model?
Fixed fee per successful hire. No percentage of salary. The exact fee depends on role seniority and specialization — we share the number on the first call. No surprises.
Do you work with early-stage AI startups?
Yes. Many of our clients are Series A–B companies building out their first ML team. We focus specifically on Senior, Lead, and Founding-level A-players who build core technical edge.
There is only one rule in the jungle:
Ordinary hiring leads to ordinary results. Right hires expand what’s possible.
Tell us about the role.
Trusted by
- Gopuff
- Waitrose
- Anatta
- CreatorIQ
- Fulcrum
- INSART
- Chat to us
- hello@easysofthire.com
- Social media