Hire AI developers who put AI inside your product

Cubehire AI developers take the model APIs your team keeps talking about and turn them into features customers use: search that understands intent, support that answers from your own documents, and workflows that run themselves. Each one passed a scored technical interview before you see them.

Hire AI Developers How we vet them
The work

What our AI Developers build

Typical projects companies bring a AI developer in for.

1

LLM features in existing apps

Summaries, drafting, classification and smart search wired into the product you already run, with prompts and outputs versioned like code.

2

Document question answering

Retrieval over your help center, contracts or internal wiki so answers cite the source instead of guessing.

3

Automation with AI in the loop

Pipelines that read emails, tickets or invoices, extract what matters and hand structured data to your systems.

4

Evaluation and guardrails

Test sets, cost tracking and output checks so an AI feature can be measured, trusted and shipped again next week.

Skills

Skills we test every AI developer on

  • OpenAI and Anthropic APIs
  • Prompt design and versioning
  • Python
  • TypeScript
  • LangChain or LlamaIndex
  • Vector databases
  • Embeddings
  • Function calling
  • FastAPI
  • Evaluation harnesses
  • Token and cost control
  • Streaming responses
Vetting

How we vet AI Developers

Every AI developer sits the Cubehire AI interview: multiple choice fundamentals, a timed written and coding round, and a recorded video round. A person on our team then reviews the profile before any company sees it. For this role, the interview checks that they can:

  1. Check 1

    Designs an AI feature end to end in the written round, including how it fails and how it is measured.

  2. Check 2

    Answers practical questions on context windows, embeddings and when not to use a model at all.

  3. Check 3

    Explains a real AI build on camera in plain English, so you know they can talk to product and clients.

Available now

Vetted AI Developers in the network

Each profile carries a scored AI interview and a human review.

See the whole network

Tell us about your AI developer role

New profiles are approved every week. Describe the role and we will send matched, interview scored AI Developers within 48 hours.

Describe the role
How it works

Hire in 4 easy steps

From the first conversation to a signed engineer, without the six-week search in between.

01
Define
Tell us what you need

Describe the role, the stack and the work. No job spec required, a conversation is enough.

02
Discover
Meet the top engineers

Three to five matched engineers within 48 hours, each with their AI interview score attached.

03
Evaluate
Interview with ease

Pick who you want to meet and we handle the scheduling on both sides.

04
Onboard
Hire with confidence

Contracts, USD payroll and compliance handled. You get an engineer, not an admin project.

Terms

Simple terms for US companies

Shortlist in 48 hours

Three to five interview scored profiles that match your stack, delivered within two days.

Hours that overlap yours

A shifted working day agreed during hiring, with daily overlap with Eastern or Pacific time.

Contracts and payroll handled

We carry the paperwork and pay the developer in USD, so you are not opening an entity abroad.

Replacement guarantee

If the fit is not right, we replace the developer at no extra cost within the guarantee period.

Hiring AI Developers

Questions about hiring AI Developers

What companies ask before they hire a AI developer through Cubehire.

Talk to our team
An AI developer connects language and vision models to your product. They pick the right model for the job, design prompts and retrieval, build the API around it, and add tests so the feature keeps working when the model or your data changes.
Not quite. AI developers mostly build on existing models through APIs and open source libraries. Machine learning engineers train, tune and deploy models on your own data. Many products need the first long before they need the second.
Yes. They are tested on keeping sensitive data out of prompts, using providers with zero data retention options, and running open models on your own cloud when the data cannot leave it.
Most work in Python or TypeScript with OpenAI, Anthropic or open models, plus LangChain or LlamaIndex, a vector database such as pgvector, Pinecone or Weaviate, and FastAPI or Node.js for the service around it.
A flat rate quoted before you interview anyone: a one time fee for full time placements, or a fixed monthly rate for contract work. There is no percentage of salary. See the pricing page for current rates.

Still have a question about Cubehire?

Ask about vetting, pricing, contracts or how the AI interview works. Cubie, our assistant, answers straight away and raises a ticket for the team when it cannot.

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Ready to hire a AI developer?

Tell us the stack and the work. You get matched, interview scored AI Developers within 48 hours.

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