Our new developers were able to hit the ground running, we've worked with them for over two years now, and they are truly part of our team.
In-house feel, nearshore
Vertex AI Developers
Hire developers and ML engineers experienced with Vertex AI - Google Cloud’s full-stack ML platform. From training to tuning to deploying generative models, our engineers deliver smart apps fast.
- Trained on Vertex AI - pipelines, models, deployments
- End-to-end builds - from preprocessing to prediction
- Cloud-native - fully aligned to GCP and MLops best practices
AutoML & GenAIMLOps PipelinesPrediction ServingMonitoring & TuningData Engineering
Our Service
Vertex AI Developers, Embedded In Your Team
We embed Vertex AI specialists who’ve shipped real ML and GenAI apps in production. They join your stack, tools, and timezone - ready to train, tune, and scale AI-powered features within your product.
- Trained in the Google ML stack
- Pipeline experience from prototype to prod
- Flexible terms - no lock-ins or long-term contracts
Flexible terms - no lock-ins or long-term contracts
From Model to Product
- Use Vertex AI for custom model training, evaluation, and optimization.
- AutoML & GenAILeverage pre-trained and custom-tuned models using Google's GenAI offerings.

- MLOps PipelinesBuild training and deployment pipelines with Vertex Pipelines and CI/CD integration.

- Prediction ServingDeploy scalable endpoints with latency targets and autoscaling.
- Monitoring & TuningTrack model drift, monitor performance, and schedule retraining.
- Data EngineeringPrepare and manage training data using BigQuery, Dataflow, and Cloud Storage.
The alternative
Get speed, fit and in-house feel without the hiring grind.
Solid lime = yes · outline lime = partial · grey dash = no
Vetting
You see two people - not 200 CVs.
Engineers vet engineers
A senior engineer runs a live technical conversation on the candidate's real stack, not a recruiter working from a keyword list.
Live coding, not take-homes
Real problems solved in front of an assessor, with anti-cheating checks. You see how they actually work, not what they submitted overnight.
A full profile, not a CV
Every candidate arrives with a resume, interview summary, coding-test breakdown and rate. You decide on evidence.
Every tab is a stage a candidate has to clear. Six of them, all run by our own internal engineers at Cloud Employee, before you see a name.
- Overview
- CV
- Tech interview
- Coding test
- Psychometric
- Soft skills
Scored by people. We use AI to cross-check our own consistency - never to decide who reaches your shortlist.
✓Luka M.
VettedSenior AI Engineer · Python · LLM systems · RAG · 6 yrs · Zagreb, Croatia (GMT+1)
Assessment
Six years in production Python, the last three on LLM systems - retrieval pipelines, eval suites, and agent tooling for UK fintech. Owns delivery end to end.
AI in practiceShips with Copilot and Claude Code daily, and rewrote 40% of the generated code in his observed task - the judgement is his, the tooling only makes him faster.
Career history
Senior AI Engineer
UK payments platform · 40-person product team
Built the retrieval assistant now resolving 30% of tier-1 tickets; owns its eval suite and guardrails.
Backend Engineer, Python
Travel booking SaaS · Zagreb
Moved fraud scoring onto a real-time feature pipeline; cut false declines by 18%.
Data Engineer
Agency · Python, Postgres, AWS
- Python
- FastAPI
- LangGraph
- pgvector
- Evals & tracing
- AWS
- Docker
Technical interview
Assessed by Marco R., Principal Engineer
12 Jun 2026
55 min · live call
"Walked me through an assistant that was quietly hallucinating refund policy, how he caught it in evals, and what he got wrong on the first fix. Hire-ready for a senior seat."
Live coding test
Repair a leaking retrieval pipeline
88
score
retrieval.py · submitted diff
- hits = index.query(q, k=50)+ hits = index.query(rewrite(q), k=50, filter=tenant)+ hits = rerank(hits, q)[:8] # recall 0.62 -> 0.91+ assert_context_budget(hits, max_tokens=6000)
Psychometric · technical thinking
How he reasons under a real deadline - not a personality quiz.
Top 9%of engineers
we test
A 45-minute reasoning test, scored against the 4,000+ engineers we have already placed. Our assessors do the marking - AI only flags where our own scoring looks inconsistent.
Soft skills · working with your team
"He raised the payment edge case nobody else had spotted, in writing, two days before release."
This is what you receive - not a CV.
Why Cloud Employee?
AI-native teams, built for Google Cloud
Our engineers aren’t learning on the job - they’ve built real products using Vertex AI and Google Cloud. We place fully embedded experts who match your pace, platform, and ambitions.
- Deep experience with Vertex AI and GCP tooling
- Timezone-aligned, culturally embedded engineers
- Retained and supported by our success team

Not Just Developers - A Whole Operation
We handle hiring, onboarding, and support - so your engineers can focus on delivery.
Fully supported
We handle the rest so your engineers can focus on building.
Performance reviews
Payroll & compliance
Equipment
Workspace
In-house, without the friction
No upfront fees. No lock-in contracts.
- No placement or upfront fees
- Rolling 30-day contract, cancel anytime
- One monthly rate, everything included
Ready to find your engineer?
Tell us exactly who you need.
In 90 seconds
Two matched engineers in 7 days. No fees, no obligation.
What role are you hiring for?
Pick one to start - you'll see matching engineers at the end.
- Founded in 2014
- 97% stay 2+ years
- Replace if it isn't working
Got questions?
The questions CTOs and founders ask.
Can't find your question?
Ask our AI chatbot, trained on every sales call we've had.
01How do you manage time zone differences?
02How is Cloud Employee different from a recruitment company?
03Is there a minimum number of employees I need to hire?
04What if a developer doesn't perform as expected?
05Do I communicate directly with the developer working with me?
06How quickly can you scale my team if needed?
07What level of project management support do you provide?
08What does your discovery call process entail?
09How is Cloud Employee different from a freelancer platform?
10Can I visit your offices and meet my Cloud Employee/s?
Proof, not promises
Hear from our customers
In their words














