Trusted by companies across the USA
A dedicated AI developer who joins your team and ships weekly
A logistics company had a support inbox drowning in repeat questions, and their two engineers were already buried in the core product. They needed someone who could wire up an OpenAI-backed assistant against their own docs without derailing the roadmap. That is the spot a dedicated AI developer fills: real model work, embedded in your team, without a new full-time hire on the books.
Tell us what you need. We will match you within 48 hours.
Trusted by companies across the USA
Your developer builds retrieval pipelines on a vector database so the model answers from your documents instead of guessing. That means fewer hallucinations on questions where being wrong actually costs you.
From summarization to classification to chat, your developer ships the feature inside your existing codebase using the OpenAI API or open models. You decide what goes live and when.
Prompts get versioned and tested against real examples, not tweaked once and forgotten. When a prompt change breaks an edge case, the eval set catches it before your users do.
Your developer hooks model output into the tools you already run, pulling and pushing data through REST APIs to your CRM, database, or internal services. The AI becomes part of the workflow, not a demo sitting off to the side.
For problems an off-the-shelf API cannot solve, your developer trains and fine-tunes models in TensorFlow or PyTorch. We will tell you honestly when this is overkill and an API call would do the job.
Token usage, caching, and model choice get watched so a clever feature does not quietly turn into a runaway bill. You see where the spend goes and why.
The person who learns your codebase is the person who keeps working on it. No quiet swaps to a junior once the contract is signed, which is a common complaint we refuse to repeat.
Every model, prompt, script, and pipeline your developer writes belongs to you from the first commit. Nothing is held back or licensed back to you later.
We are based in India and our team shifts to overlap with US Eastern and Pacific business hours. You get live time on Slack and Zoom, not a reply that always lands the next morning.
We sign your NDA and a clear engagement contract before your developer touches a repository or any training data. Your prompts, datasets, and product ideas stay yours.
If the developer is not working out for you, we swap them for another at no penalty period. You should not be stuck paying for a pairing that is not clicking.
Every week you get a short written summary, merged pull requests, and a Loom walkthrough of what changed. Progress is visible without you chasing anyone for a status.
Your developer works your hours as a steady part of the team, taking on AI features alongside your roadmap. Best when there is enough model and integration work to fill a full month.
Half a month of focused time for teams with a clear but contained piece of AI work. A good fit when you want momentum on a chatbot or retrieval feature without a full-time commitment.
You draw on your developer by the hour for prompt tuning, a model integration, or fixing an output that drifted. Hours are logged and shared, so you only pay for time actually worked.
Pair an AI developer with a backend engineer or a data person when one set of hands is not enough. We scope the mix with you around the build you have in mind.
Transparent pricing. No hidden fees.
From first contact to your developer writing code — here is how it works.
Get StartedWe start with a call about the AI problem you are actually trying to solve, whether that is a support assistant, a document search, or a classification model. By the end we know the skills your developer needs and the tools they will plug into. No generic intake form.
We put forward one or two AI developers whose background lines up with your work, not a stack of resumes to sort through. You interview them directly and ask about their past model and retrieval projects. You make the final call on who joins.
In the first week your developer gets repository access, reads your existing code, and maps where AI features will live. They join your standup and set up Slack, so by Friday they are asking sharp questions instead of waiting for direction.
We agree on a tight first sprint with a working slice you can run yourself, like a single retrieval query returning answers from your docs. Scope is written down so nobody is guessing what done looks like. You can change direction before the next sprint starts.
From there your developer ships in a weekly cadence, with merged pull requests and a Loom recording of what moved. You talk to them directly during US-hour overlap rather than through a middle layer. If priorities shift, the next sprint shifts with them.
Bring us the model feature or assistant you have been putting off, and we will line up an AI developer who can start building it inside your team. One call to see if the fit is right.
Describe your project and requirements.