Trusted by companies across the USA
A specialist who makes your AI features behave the way you intended.
A health-tech founder shipped a Claude-powered summarizer that worked great in demos and fell apart in production, inventing dosages that were never in the source notes. The fix was not a bigger model. It was someone who could rewrite the prompts, ground them in retrieved data, and prove the change worked with a real test set.
Tell us what you need. We will match you within 48 hours.
Trusted by companies across the USA
Your specialist rewrites brittle prompts into structured, tested instructions so the same input does not return three different answers across runs.
They build a graded test set for your use case, so you can see whether a prompt change actually improved accuracy instead of guessing from a handful of examples. Once that suite exists, every later change is measured against it, which is how you stop shipping a fix that quietly breaks three other cases.
They wire retrieval into your prompts so answers cite your own data, which is usually what fixes hallucinations more than any model swap.
They track where your model makes things up, then constrain the prompt and grounding until those failures show up in the eval scores and drop.
They trim bloated context windows and tighten system prompts, which often cuts per-call token counts without hurting answer quality.
Your prompts live in version control with change history, so a tweak that breaks a downstream feature is easy to trace and roll back.
The person who learns your product in week one is the same person working with you in month six. No silent swaps to a cheaper hire once you are signed.
Every prompt, eval set, and config your specialist writes is yours immediately. There is no shared template or licensed asset you have to keep paying for.
We are based in India and structure the day around your time zone, so your specialist is on Slack and Zoom during your afternoon, not just sending overnight emails.
We sign your NDA and an engagement contract before your specialist sees a single prompt or piece of customer data. That is the starting point, not an afterthought.
If the match is not working in the first weeks, we find you someone else and absorb the ramp-up. You should not be stuck with a hire who does not click with your team.
You get a weekly summary tied to your project board plus access to the eval runs, so progress is visible without you chasing for a status call.
A prompt engineer focused on your product all month, embedded in your standups and owning your LLM features through each sprint.
Half the month, useful when you have a few AI features to tune and maintain but not enough to fill a full schedule.
Pay for the hours you actually use, billed against logged time. A fit for audits, one-off prompt rewrites, or setting up an eval suite.
More than one specialist when you are building several model-backed features at once and need prompt and retrieval work to move in parallel.
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 your actual LLM problem, whether that is a flaky chatbot, a slow RAG pipeline, or an eval set you never built. You leave knowing whether a prompt engineer is even the right hire, because sometimes it is a data problem instead.
We put forward the person whose background fits your stack, not whoever is on the bench. If your features run on Claude and LangChain, you talk to someone who has shipped on that combination and can speak to its quirks.
In the first week your specialist reads your existing prompts, maps where the model fails, and gets access to your repos and boards. By the end of it you have a short write-up of the biggest accuracy gaps and where to start.
You and your specialist agree on a first sprint with a measurable goal, like raising eval pass rate on a specific task or cutting tokens per call. The scope is small enough to show a real result, not a quarter-long promise.
From there the work settles into a steady cadence, with eval runs attached to each change so you can see what moved. Your specialist joins your standups and you have direct access, no account manager sitting between you and the person doing the work.
Tell us where your LLM features fall short and we will line up a prompt engineer who has fixed the same problem before. The first call is about your project, not a pitch.
Describe your project and requirements.