Hire dedicated AI integration developers

Developers who add AI to the product you already have. They build features people can trust: every AI answer can be traced to its source, and a person confirms anything that matters before it is saved.

skills.json

Skills our AI integration developers bring

LLM APIsOCR (Tesseract)Document extractionEmbeddings and searchPrompt design and evaluationStreaming chatJava / Spring BootReactCost controlPython

Experience levels: mid-level and senior

// what they build

What our AI integration developers build

Document intake

Contracts, invoices and scans turned into structured records for review.

Assistants inside your app

Chat that answers from your own data and can take actions, with limits you set.

Summaries and search

Case and record summaries, and search across your documents.

Rule-based assistants

Answers from live data with no AI model at all, where accuracy matters more than wording.

// delivered

Some of the AI integration projects we’ve delivered

Both are real Nebel work. Client names are shared only with their permission.

Start from a sentence or a contract. The dashboard asks what you are working on. Type the job in plain words, or drop in the contract, invoices and change orders.
step 01

Start from a sentence or a contract

The dashboard asks what you are working on. Type the job in plain words, or drop in the contract, invoices and change orders.

Open this screen full size ↗

Real screens from the product. Client branding and every case detail are replaced with sample data.

Taking over an existing AI integration app?

If you already have an AI feature that gives wrong or expensive answers, your developer measures it on real examples, finds where it fails and fixes it, often by moving work from the AI model to plain rules.

How you work together

Your developer joins your Slack or Teams, works in your repo, and shows up to your standups. You get a short written update every day and a weekly call. Their working day overlaps with US business hours, so standups, reviews and calls happen in your time zone, wherever in the US you are.

AI integration hiring questions

Which AI models do you use?

Whichever fits the job and your data rules. We have used several commercial LLM APIs and open models, and we measure cost and accuracy before choosing.

How do you stop the AI from making things up?

Rules handle what they can, AI answers must quote the source, the quote is checked in code, and a person confirms before anything is saved.

Can we interview the developer first?

Yes. You meet and approve every developer before they start.

Meet your AI integration developer this week

Tell us about your app and we’ll introduce candidates within a few business days.

Book a call