From the requirements call to a reviewed generation pipeline in production. Here is how we vet, match and onboard every generative AI engineer we place.
Before an engineer joins our bench, they are tested on pipeline design, input and output validation, and a hands-on task building a small generation pipeline with a review step. Only engineers who pass are shortlisted to clients.
We match engineers to your specific use case: the content type you need generated, your existing systems, and the timezone overlap that works for your team. You see 2 to 3 fitting profiles, not fifty.
The engineer reviews your content requirements and existing systems, agrees the review step with you, and starts building the pipeline in the first week. You manage priorities directly from there.
Works only on your account, not shared across other clients' pipelines.
Access to the engineer on your own tools, with no account manager relay.
Full time, part time, or a fixed scope, adjustable with notice as your roadmap changes.
Validation and review steps built into every pipeline before it ships.
Working hours arranged to overlap with your team for stand-ups and reviews.
A new engineer at no extra cost if the current one is not the right fit.
Tell us what you need generated, and we will shortlist engineers who fit your use case and your timezone.
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