Trusted by companies across the USA
A dedicated generative AI developer embedded in your team, not a side project
A marketing team kept paying freelancers to mock up product images, and every batch took two weeks and looked off-brand. They needed someone who could stand up a Stable Diffusion pipeline that matched their catalog and kept running. That is the kind of work a dedicated generative AI developer handles day to day, inside your stack and your roadmap.
Tell us what you need. We will match you within 48 hours.
Trusted by companies across the USA
A developer who fine-tunes Stable Diffusion on your own assets so generated visuals match your product line instead of looking like generic stock art.
OpenAI API and LangChain work wired into your actual product: summarizers, assistants, and structured extraction that handle messy real inputs, not just the happy path.
Vector database setup and tuning so your search or chatbot pulls from your documents accurately, with chunking and embeddings chosen for your data.
Pipelines written in clear Python with Diffusers and proper structure, so your in-house engineers can read and extend the work after handoff.
Guidance on when a hosted API beats a self-hosted model, and when it does not, based on your volume and response-time needs rather than hype.
Prompt filtering, content checks, and fallback handling built in early, because generative models fail in public and quietly broken output is worse than an error. A wrong image or an off-tone caption that reaches a customer is harder to walk back than a server error, so the checks run before anything ships.
The person who learns your codebase in week one is the same person shipping in month six. No silent swaps, no rotating faces on your standup.
Every model, pipeline, prompt template, and weight your developer produces belongs to you from the first commit. Nothing is held back or licensed to you.
We are based in India and arrange working hours that overlap your mornings, so you get live calls and same-day answers instead of a 12-hour relay.
We sign your NDA and a clear contract before your developer touches a repo or sees your data. The paperwork comes first, not as an afterthought.
If the match is not working, tell us and we line up another developer rather than asking you to push through a bad pairing. You are not locked in.
You get visible weekly progress through a shared board, short Loom walkthroughs, and direct chat access, so the work never disappears into a black box.
One generative AI developer working your business hours, fully embedded in your team and roadmap. Best when you have a steady stream of model and pipeline work.
Half-time support for teams that need generative AI skill without a full workload yet. Good for adding an LLM feature alongside an existing product.
Pay for the hours your developer actually works, logged and visible. Useful for shorter experiments or when the scope is still settling.
More than one developer when a single person cannot cover the surface area. We size the group to the work and keep one point of contact.
Transparent pricing. No hidden fees.
From first contact to your developer writing code — here is how it works.
Get StartedWe start with a call to understand what you are building, your current stack, and where generative AI actually fits. You walk us through the problem and we tell you honestly whether one developer is the right call or whether you need something different. No scripted sales pitch.
We put forward a specific developer whose generative AI background lines up with your work, not a generic resume from a bench. You interview them directly and review past projects involving Stable Diffusion, LangChain, or LLM integration. If they are not right, we send another before anything starts.
Your developer joins your tools, reads your codebase, and gets access to the data and models the work depends on. The NDA and contract are already signed by this point. By the end of the week they have a local environment running and a written plan for the first sprint.
We agree on the first concrete deliverable, whether that is a working text-to-image pipeline or a retrieval prototype over your documents. The sprint is scoped small enough to ship something you can test within two weeks. You see early output rather than a long silent build.
From there the developer works inside your sprint cycle with visible progress on a shared board and short recorded demos. You have direct chat and call access during your hours, so you can change direction without waiting on a middle layer. Priorities shift with your roadmap, not a fixed contract.
Tell us what you are trying to build and we will match you with a generative AI developer who can start inside your team. The first call is a straight conversation about fit.
Describe your project and requirements.