FAQs: AI Product Engineer in Kasba
The hard part of AI products isn't the model call — it's deciding what to build and shipping something reliable enough that users trust it. For Kasba teams, that's the job I do end to end.
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Everything you need to know
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Ask a question01Do you build the whole product or just the AI feature for Kasba clients?
Either — I can own a single AI feature inside your existing product, or build the full product end to end.
02What's your tech stack?
Next.js/React on the frontend, Node or Python on the backend, and OpenAI/Anthropic APIs or open-source models depending on the task.
03How do you decide if AI is the right solution?
I start by scoping the user problem without assuming AI is the answer — sometimes a simple rule beats a model.
04Can you join an existing Kasba engineering team?
Yes — I regularly plug in as the AI specialist inside an existing team, not just as an outside vendor.
05What does an AI product engineering engagement cost in Kasba?
Cost depends on whether it's a scoped single feature inside an existing Kasba product or a full end-to-end build. A fast prototype phase is typically priced separately from the production-hardened build that follows it.
06How is this different from hiring a GenAI engineer directly for Kasba?
A GenAI engineer typically starts once the feature is already scoped; this covers the product decision itself — user research, UX design, and whether AI is even the right approach — before any prompt gets written for your Kasba product.
07How long from idea to a validated prototype for our Kasba users?
A testable prototype to validate the concept with real Kasba users typically ships within 2-4 weeks; the hardened, production-ready version follows once that direction is confirmed.
08Is this a good fit if we already know exactly what AI feature we want built?
Yes, though the scoping phase still happens quickly to confirm the approach — if your Kasba team's direction holds up, we move straight into building rather than re-litigating the idea.
09What happens in the first week for a Kasba product team?
The first week is discovery — understanding your Kasba users and confirming where AI genuinely adds value — before any prototype work begins.