Hire LLM developers who treat evaluation as seriously as the prompt.
RAG systems, fine-tuning, and LLM application architecture, built by engineers who measure quality with a real eval harness, because a prompt that looks good in a chat window and a system that's reliable in production are two different problems.
Retrieval pipelines that ground answers in your own documents and data.
Structured, versioned prompts, not one-off strings buried in code.
Held-out test sets that catch regressions before users see them.
Model routing, caching, and streaming that keep production affordable.
What strong LLM Developers know cold.
from $25/hr
A typical range. Your final rate depends on experience level, timezone overlap and how long you book for.
Four stages. Three percent get through.
- 01Screening38%Résumé, background, and communication check, the fastest way to rule out a bad fit.
- 02Technical Deep Dive22%A senior engineer probes real system design and stack depth, not trivia.
- 03Live Build Test9%A timed, real-world task. We watch how they actually ship, not just what they claim.
- 04Client Fit Interview3%Ownership, reliability, and how they work inside your team on day one.
- Shortlist in 48 hoursProfiles, not a waiting list.
- Free replacementWrong fit swapped at no cost.
- No conversion feeHire them direct whenever you want.
- IP yours from day oneAssigned in writing, not at handover.
- Month to monthNo lock-in, and no notice period.
Shipped, not slideware.
On camera, in their own words.
Why he brought his development work to Code Elevator.
Hiring for something adjacent?
Answered before you ask.
RAG systems, prompt architecture, fine-tuning, and the evaluation and cost-control layer around all three, the full stack of building an LLM feature that stays accurate and affordable once real users hit it.
Against a held-out test set graded by rubric or by domain experts on your side, a real pass rate tracked across changes, not a subjective read of a few chat transcripts.
Both. We pick per use case on cost, latency, and data-residency needs, Llama and Mistral self-hosted where that makes sense, hosted APIs where it doesn't.
Yes. A common engagement is auditing an existing RAG or prompt setup, building the eval harness that was skipped the first time, and fixing what the numbers show is actually broken.
Every way out of this hire is already written down.
Not a fit? Replace anyone in the first two weeks. No questions asked, no replacement fee. We re-match from the same vetted pool.
You pay only for engineers who actually start. Seeing candidates costs nothing.
Dedicated and managed engagements run on a monthly rolling contract. Cancel with notice.
You see the number before you commit. Nothing is added on top of it later.
Bring us the LLM problem. Three matched engineers in 48 hours.
Working prototype or production system that needs to get reliable. We'll scope it against a real evaluation bar, not a demo.
We reply within an hour during our working day in India and the UAE.