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
AI Engineers
Hire AI Engineers with experience deploying real-world models - ML, NLP, CV and more. From data prep to model optimization and inference, we embed engineers who push prototypes into production and drive measurable results.
- ML, NLP, CV & GenAI implementation expertise
- Production-ready - data pipelines, model ops, and APIs
- Embedded fully - your tools, team & delivery cadence
PythonTensorFlowHuggingFaceLangChainFastAPI
Our Service
Embedded AI Engineers, Production-Focused
We place hands-on AI Engineers who don’t just prototype - they deliver. From model development to deployment, our engineers work across the full AI lifecycle, collaborating with your product and engineering teams to ship real value.
- Matched to your tech stack and ML use case
- Experienced in both research and production deployment
- Backed by support for retention and delivery continuity
End-to-End AI Capability
AI Engineers who bridge science and product
- Model DevelopmentTrain and tune models using Python, TensorFlow, PyTorch, HuggingFace, and more.
- Data EngineeringBuild reliable pipelines and prepare clean, usable datasets at scale

- ML OpsDeploy, monitor, and update models with reproducibility and performance in mind.

- GenAI & LLMsCustomize or fine-tune large models for your specific use case or ver
- Product IntegrationConnect models to real apps via APIs, microservices, or embedded logic.
- Experimentation & MetricsDesign and measure experiments that validate model and business performance.
Your AI Stack, Covered
From notebooks to pipelines, we place engineers who deliver real-world ML
Technology coverage
From your front end to your back end, we've got your stack handled.
Frequently placed for AI EngineersPython DevelopersBackend, data, and automation specialists
TensorFlow DevelopersML engineers that ship models
HuggingFace DevelopersNLP, transformers & model fine-tuning
LangChain DevelopersEmbedded LLM engineersFastAPI DevelopersHigh-speed backend APIs
AWS DevelopersCloud-native engineers on demand
Vercel DevelopersNearshore Vercel experts
Rust DevelopersHigh-performance Rust expertise
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 Talent You Can Embed and Trust
We don’t just find you someone who can build a model - we place AI Engineers who fit into your team, deliver fast, and stay long enough to evolve with your product. Backed by HR, IT, and operational support for long-term success.
- Vetted for applied ML, not just theory
- Embedded in your stack, team, and goals
- Retained and supported by our delivery team

Not Just a Hire - A Long-Term Partner
We handle onboarding, support, and HR so your AI team can focus on results.
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.
Any particular stack?
Optional. Search anything, and add it if it is not listed.
Popular right now
- 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?
11What do I get at the end of a product build?
12Can I bring my own designs or do you handle design too?
13What if I already have some code or a prototype?
14Do I need to manage the developers during the build?
15How long does it typically take to build a product?
16What happens after the product is launched?
17Can you build across web, mobile, and backend?
18Will the codebase be handed over to me?
19Do you offer fixed-price product builds?
20Can I add more features or change scope mid-build?
21What kind of consulting do you provide?
22How is this different from working with a dev agency?
23Do I need to know exactly what I want to build?
24Can you help me choose between different tech options?
25Do I need to commit to a build after consulting?
26How technical do I need to be to benefit from consulting?
27Can you help scope an MVP?
28Do you offer AI-specific consulting?
29Can I book just a single session to get advice?
Proof, not promises
Hear from our customers
In their words














