They sent three engineers and all three could have done the job. That has never happened to us with an agency.
VE
VP EngineeringConsumer fintech
Every profile comes with proof of work
Hire pre-vetted AI engineers in 14 days
A bench of 3,500 AI, ML, Data and MLOps engineers. Every one has been interviewed by a senior engineer, so what you receive is a score, a recording and the code they wrote, not a résumé.
- Proof of work, not a résumé: score, recording and code
- Only vetted engineers are shared, so you screen fewer people
- We manage the placement after they start, not just the match
- Wrong fit gets replaced within a week
14 daysFrom first call to first commit
1 in 4Clear the technical interview
1,000+Senior engineers run the interviews
96%Placements still running past six months
From seed-stage AI products to listed enterprises
The hiring problem
Hiring AI engineers is not the hard part. Knowing which ones are good is.
Most teams end up with five vendors to fill four seats. One to find people, one to pay them, one for compliance, and two more when the first three fall through.
Hiring it yourself
LinkedIn RecruiterAgency #1Compliance consultantAgency #2Contractor marketplaceEOR vendorJob boards
- Three to five vendors to fill one team
- You screen dozens of profiles to find two
- You find out how good someone is after they start
- Six to ten weeks before anyone writes code
- Recruiters screening AI roles they do not understand
- Contracts, payroll and compliance are your problem
- Someone leaves and the search starts over
With EMBTalent.ai
- One partner, from the first call to a working team
- Only vetted engineers are shared, so you screen fewer
- Interview score, recording and code before you meet them
- 14 days from the first call to the first commit
- Senior AI engineers run every technical interview
- Contracts, payroll, laptops and compliance are ours
- Wrong fit, replaced within a week, no double billing
Our process
From one line of context to engineers you can assess.
Four steps from a one-line request to engineers you can actually assess.
Describe the role the way you would to a colleague
No job description to write. Type “AI engineer” and the agent asks the two or three questions a good engineering manager would ask, then turns your answers into a real spec.
01 / 04
01 · YOU TALK TO THE AGENT
AI engineer
AIAre they building agents and retrieval, or training and serving models?
Agents and retrieval. RAG over our own docs.
AIDoes inference need to run inside your own cloud account?
Yes — our AWS account. Bonus if they have used Bedrock.
AI
JD or specMessage the agent…
No pre and post hiring hustle required. We take care of everything.
Contracts, compliance, payroll, equipment, replacement.
Case studies
Teams we set up, and what they shipped
Every one of these teams was live inside three weeks.
Telecommunications
Rakuten
Challenge
Network operations ran on manual effort across fragmented systems. Site qualification, optimisation and compliance audits each sat in their own tool, so issue resolution was slow and nobody had one view of the estate.
What we did
We set up the engineering team that built the GenAI layer over those workflows: co-pilots for predictive operations, real-time anomaly detection, and closed-loop automation of recommendations and audits.
“They picked up a half-built system and did not slow us down doing it. That is rare for anyone external.”
Engineering lead, network operations
50%Faster network issue time-to-resolution
What we set up
AI engineers on agent orchestration and retrieval, a data engineer on the network telemetry pipeline, and a lead who ran delivery alongside their internal team.
LangGraphVector DBPythonFastAPI
Why us
We already own the bench
An agency starts looking the day you brief them. We already looked: 3,500 engineers, interviewed, scored and sorted by what they can build.
LLM engineers
RAG engineers
Agentic AI
Machine learning
Computer vision
NLP engineers
Applied research
AI engineers
LLM engineers
RAG engineers
Agentic AI
Machine learning
Computer vision
NLP engineers
Applied research
AI engineers
Full stack
Data engineers
Data scientists
Analytics engineering
MLOps
DevOps
Cloud architects
Backend
Full stack
Data engineers
Data scientists
Analytics engineering
MLOps
DevOps
Cloud architects
Backend
3,500 ready
The bench already exists
There is no search to start. The engineers you need were interviewed months before you asked for them.
1 in 4
Interviewed by engineers
A recruiter checks a résumé against a keyword. A senior engineer checks whether someone can actually build the thing. One in four gets through.
Domain first
They have worked in your industry
Lending, private equity, healthcare, retail, government contracting. We match on the constraints an engineer has already worked inside, not just the framework they know.
14 days
Speed is the point
Everything here exists to shorten one gap: deciding you need an engineer, and that engineer writing code.
Managed
We stay on after they join
The placement is managed, not handed off. If an engineer is the wrong fit, we replace them within a week and the ramp-up is on us.
Your terms
Your contract, your repository
You hold the contract, the work product and the accounts. Engineers are background checked and work inside your own environment.
What their engineering leads said
Two weeks from the first call to code in our repo. The pod lead ran delivery so I did not have to.
CT
Co-founder and CTOAI product company
We stopped triaging the backlog and started shipping against it. Five engineers, one sprint of ramp-up.
HD
Head of DataPrivate equity analytics
They picked up a half-built system and did not slow us down doing it. That is rare for anyone external.
DE
Director of EngineeringEnterprise automation
Frequently asked questions
Profiles reach you within one working day of your request. From there the median time to the first commit is 14 days. A team of four usually takes two to three weeks.
Tell us what you are building. We will send three engineers who can build it.
Their profiles and interview scores arrive within one working day. No obligation, no placement fee.