In-house feel, nearshore
Airtable Developers
British teams lean on Airtable for the systems that quietly run the business, CRMs, pipelines, project trackers. The difference between a base that scales and one that collapses is data design, and that is an engineering skill. We embed developers who bring it, employed by us and working your hours.
- Bases, interfaces and formulas designed to last
- Automations and integrations through scripts, APIs and Zapier
- Working inside your team and your existing workflows
Airtable InterfacesIntegration & AutomationApp ExtensionsTeam Enablement
Our Service
No-code speed with an engineer's discipline
We vet Airtable developers the way we vet any engineer, CTO-led, with live pair programming and a cultural fit screen. That matters because the hard part of internal tooling is not the interface, it is modelling your operations honestly and knowing when Airtable stops being the right answer. Matched candidates interview within 7 working days.
- Internal dashboards, CRMs and shared platforms built to your process
- Polished front ends using Airtable Interfaces
- Connected to the rest of your stack via scripts and APIs
Connected to the rest of your stack
Fluent in Airtable and what surrounds it
- Design scalable, multi-user Airtable bases that match real-world workflows.
- Airtable InterfacesBuild clean, user-friendly dashboards and input forms with Airtable Interfaces.

- Custom Scripts & FormulasAutomate calculations and decision flows with advanced scripting and formula logic.

- Integration & AutomationConnect Airtable to Slack, Gmail, APIs, and apps with Zapier, Make, or native actions.
- App ExtensionsExtend your Airtable with scripts and widgets that add powerful custom features.
- Team EnablementDeliver systems that are easy for non-technical teams to maintain and scale.
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 CV, interview summary, coding-test breakdown and rate in pounds. 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.
Ask our AI anythingWhy Cloud Employee?
A tooling hire that does not become a liability
Because we employ the developer, you sidestep contractor admin and IR35 status questions entirely. One monthly fee covers everything, the contract rolls month to month with 30 days notice, and a two-week money-back guarantee plus free developer replacement takes the risk out of the first fortnight.
- Matched to your use case and vetted for delivery, not tool trivia
- Rolling monthly terms with a UK-based client success manager
- Onboarding, payroll and retention handled by us

Not Just Developers - A Whole Operation
Your Airtable developer arrives with our HR, support and success teams behind them.
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
What role are you hiring for?
Pick one to start - you'll see matching engineers at the end.
- 300+ teams built
- 97% stay 2+ years
- Replace if it isn't working
Got questions?
The questions CTOs and founders ask.
In most cases 50 to 75% less than employing a comparable British developer, counting salary, employer national insurance, pension, recruitment fees and overheads. We place UK-based Airtable developers as readily as anywhere else. Where most clients arrive is Eastern Europe, the Philippines or Latin America, because the engineers are just as strong and the cost is considerably lower, with Eastern Europe sharing nearly all of your working day. Our aim is the strongest quality-to-cost ratio we can find for you, genuinely good people at a sustainable price.
Airtable is a low-code platform that behaves like a spreadsheet and works like a database, with automations, interfaces and integrations layered on top. Teams choose it to build operational tooling, trackers, approval flows, lightweight CRMs and content pipelines, in days rather than quarters, and to let the people who run a process own the tool that runs it. Its sweet spot is the huge territory between a spreadsheet buckling under misuse and software worth a dedicated engineering team.
Schema thinking above everything; an Airtable developer who models data well builds bases that survive growth, and one who does not builds tomorrow's unmaintainable spreadsheet, just fancier. Look for disciplined automation habits, since sprawling automations are the platform's characteristic mess, and scripting ability for the moments the visual layer runs out. Judgement about limits matters as much as skill within them; strong candidates speak fluently about record ceilings, sync behaviour and when a workflow belongs in real software.
Walk them through a messy real process, yours if possible, and ask them to design the base live; schema decisions reveal Airtable competence faster than any portfolio. Watch whether they ask about volumes, who edits what, and how the process fails today before they touch a table. Ask where they would use automations against scripts, and what they refuse to build in Airtable at all; the second answer separates practitioners from enthusiasts.
Demand is growing steadily as operations teams professionalise their tooling, though the role is newer and less standardised than conventional development jobs. Worth building on has a genuinely honest answer; for internal operations, yes, with eyes open. The wins are real, processes that took weeks of engineering queue time ship in days, and the people closest to the work can adjust their own tools. The dependency is real too; you are building on a vendor's platform, pricing and limits included, so anything mission-critical deserves a written view of what happens if you must leave.
Where our Airtable developers write code, scripts, formulas and integration glue, they use AI assistants routinely, and the checking discipline is what we vet for. Generated scripts get tested against real data shapes before deployment, because a formula that looks right and a formula that handles the platform's empty-cell behaviour are different things. Much of Airtable work is not code at all, and there the soundness question becomes structural, whether the schema and automation design stay coherent, which no assistant can own.
Through the CTO-led process we apply to every engineer, with the pairing stage adapted to low-code reality; candidates design and build against a realistic operational scenario alongside a senior engineer. Around it sit the technical assessment, the cultural fit screen and the psychometric assessment we built for software engineers. We weight data modelling judgement, scripting competence and honesty about platform limits, because those decide whether an Airtable hire compounds value or compounds debt. How candidates use AI tools is tested, not assumed.
You are typically interviewing matched candidates within 7 working days of a requirements call, and developers are often embedded and pushing code within about two weeks. From there it is a rolling monthly contract with 30 days' notice, one monthly fee, and no placement charges. You can scale up or down as the work changes, and you pay nothing to interview.
There is a two-week money-back guarantee, and if you want to continue we replace the developer free of charge. In practice this rarely comes up, because you interview a shortlist of two candidates who have already passed a CTO-led technical assessment and a live pair programming session, so the fit question is largely settled before anyone starts.
Proof, not promises
Hear from our customers
In their words













