Hand over the AI feature; I build it in your product and repo, starting with a prototype on real data. $997/week.
soapnoteai.com
varstatt.com/discovery
tenderpilot.ai
contentpal.app
Nobody on the team has shipped an LLM feature. Every usual fix has a catch.
| Route | What It Is | The Catch |
|---|---|---|
| Full-Time AI Hire | A permanent seat for AI work | The catch: A long search and a salary before proof |
| AI Development Company | LLM integration as a separate project | The catch: Often built apart from your team's codebase |
| Contractor by the Hour | Hourly developer time | The catch: You manage the work |
| Varstatt | Builds in your repo, by the week | The catch: One task at a time |
Your team ranks a shared task board. I take the top task and open a pull request that says why.
In Progress
Stream the assistant's replies
Ranked by You
Shipped: the prototype
An LLM fails quietly: the API reports success while the result is wrong.
Teams with a live product and no senior free to build the AI feature.
Right For
Better Elsewhere
A simple, predictable and transparent process that eliminates development headaches.
After subscribing, you get a dedicated task board. It becomes your AI roadmap.
I read the codebase and the data, and ask where that data may go.
You set the priorities. I work through them one task at a time, the prototype first.
Your team reviews every pull request. I revise until you're satisfied.
Approved work rolls out behind a feature flag, one group of users at a time.
You report issues anytime, a provider change included. I handle them first.
One weekly price for one senior. Model usage goes on your own provider account.
A senior AI developer who ships the feature into your product.
$997/week for the AI feature and the code around it, no recruiting fee. The free build cost tool sizes it in weeks.
It depends on volume, the model and the shape: one call, an assistant that resends the chat, or an agent making several requests. I price one request at your volume before the build.
An ML engineer trains models, usually in Python. An AI developer, or LLM developer, ships features on hosted models (OpenAI, Anthropic, Google): my work, in JavaScript and TypeScript.
Yes, as product features: a model that calls tools like your API. An AI agent development company sells that as a project; here it's tasks on your board.
Keys stay on the server, and prompts and personal data stay out of logs. I once found an OpenAI key in a React frontend: the fix needed a backend.
It will, sometimes. Users accept or undo each suggestion, and failed replies are caught and monitored, never shown as answers.
Cancel with no penalty, any week. A prototype that shows the feature isn't worth building is a result: saying no early costs less.
Fill in the project form, about a minute. I reply the next working day; if it fits, with a first plan and a call invite.
Jurij understand the core problem, insists on building the right experiences for the customers.
Kunal Modi
Founder @ SOAPNoteAI
Working with Jurij is an absolute joy, consistently exceeds expectations.
Janis Ozolins
Content Creator
Consistently delivered quality code in great time, very hard working & precise.
Bartosz Poźniak
CEO @ MyCointainer
The kind of engineer that every company on the planet would be lucky to have.
Hosam Mazawi
COO @ LemonUnit
AI Development fits product teams best: CTOs and tech leads who need a senior on one part of the product.
“The upgrade keeps losing to features”: small pull requests, no big-bang rewrite.
“Backend work waits on a hire”: endpoints, integrations, an API being retired.
AI Development
“Nobody here has shipped an LLM feature”: a prototype on your data first.
“Our workflows have no owner”: new flows, code where nodes stop, monitoring.
“An old app still has users and no owner”: kept current and safe.
“The bill keeps rising, or nobody trusts the rules”: the bill tied to its code, every rule reviewed.
“Releases are slow and scary”: planning to monitoring, fixes ranked.
“Every feature takes longer than the last”: why, what to fix first, whether a rewrite pays.
Not on a product team? See what Varstatt offers you.
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