An applied AI engineer turns today's AI models into working features. Instead of training models from scratch, they combine LLM APIs, retrieval-augmented generation (RAG) and your own data into software that people can use every day.
Our AI engineers handle the whole job, from the first prototype to a feature running in production inside your website, app or internal tools.
Assistants that answer questions from your documents, products and help articles.
Search and answers grounded in your own files, databases and knowledge base, with sources shown.
Read invoices, forms and contracts, pull out the details and send them to your software.
Summaries, smart search, auto-tagging and writing help inside your existing web or mobile app.
Connect OpenAI, Claude, Gemini or open-source models to your CRM, ERP and internal tools.
Test answers against real examples and tune prompts, retrieval and models for quality and cost.
We match you with developers whose experience fits your stack. Tell us the tools you already use and we will find the right fit.
Pick the model that fits your work and budget. You can switch between models as your needs change. Prices depend on the role, experience and model, so ask us for a quote.
A developer who works only on your project, about 160 hours a month (8 hours a day, 5 days a week).
A developer who works on your project for about 80 hours a month (4 hours a day, 5 days a week).
Pay only for the hours you use. Buy a block of hours and use them when you need them.
Tell us the role, skills, hiring model and start date. A short call helps us understand the work.
We send you profiles of developers from our team who match your needs.
Talk to the developers, ask technical questions and give a small test task if you like.
Your developer starts work. Add people, change hours or switch models whenever you need.
Can't find your answer? Read all our FAQs or ask us on WhatsApp.
An AI engineer mostly builds products on top of existing models and APIs, such as chatbots, RAG search and document tools. An ML engineer designs and trains models from data. Many projects need an AI engineer first and an ML engineer only if a custom model is needed later.
Yes. Our engineers join your stand-ups, work in your repositories and follow your code review process, or they can work as a separate team that hands over finished features.
It depends on the role, the experience level and the hiring model you choose. Send us your requirements and we will reply with a clear monthly or hourly quote, with no hidden costs.
Yes. We share profiles first, and you can interview the developers and give them a small test task before you decide.
You do. All code, models, prompts and documents made for your project belong to you. We sign an NDA before you share project details, and an IP assignment if you need one.
Share the role, the skills you need, your preferred hiring model and when you want to start. We will reply with matching developer profiles and a quote.
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