From the requirements call to a tuned serving layer in production. Here is how we vet, match and onboard every LLM engineer we place.
Before an engineer joins our bench, they are tested on model selection tradeoffs, fine-tuning approaches, and a hands-on task tuning a serving layer for latency and cost under simulated load.
We match engineers to your specific workload: your usage volume, your latency requirements, and the timezone overlap that works for your team. You see 2 to 3 fitting profiles, not fifty.
The engineer reviews your current setup and usage patterns, agrees latency and cost targets with you, and starts tuning the serving layer in the first week. You manage priorities directly from there.
Works only on your account, not shared across other clients' workloads.
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 workload changes.
Performance and cost reviewed against agreed targets, not left unmonitored.
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 about your workload, and we will shortlist LLM engineers who fit your latency, cost and timezone.
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