Hire an LLM Fine-Tuning Engineer for your team.
Prepares data and fine-tunes models when prompts and retrieval are not enough. Available full-time, part-time, hourly or by project.
- 7-day risk-free trial
- NDA and IP protection
- Onboard in 48 hours
Tell us who you need.
What an LLM Fine-Tuning Engineer does for you.
Prepares data and fine-tunes models when prompts and retrieval are not enough. Fine-tuning is often unnecessary, so a good person in this role will first check whether better prompts or retrieval could solve the problem.
Core skills
- Dataset preparation
- LoRA
- Unsloth or Axolotl
- Before-and-after evaluation
- Choose models and design prompts
- Build retrieval over your own data
- Create evaluation sets and guardrails
- Control hallucination, cost and latency
When this role makes sense.
You are building an assistant or copilot
Answers are unreliable in testing
LLM costs are climbing without clear value
Ready to hire an LLM Fine-Tuning Engineer?
Share your requirements and get matching profiles within 24 hours.
Three simple steps, no hiring fees.
Share your requirements
Tell us the role, the work and your goals. We share matching profiles within 24 hours.
Interview and select
Interview the people you like. Technical rounds and trial tasks are up to you, at no charge.
Onboard and start
Sign the NDA and the person joins your tools and meetings, usually within 48 hours.
Flexible terms, low risk.
7-day risk-free trial
Not satisfied in the first 7 business days? Get a replacement or end it at no charge.
NDA and IP protection
We sign both before work starts, and you own everything that is produced.
Free replacement
If the fit is wrong, we arrange a replacement with a structured handover.
Easy exit
Scale down or stop with 15 days’ written notice.
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- Profiles within 24 hours
- NDA signed before any discussion
- 7-day risk-free trial
What does an LLM Fine-Tuning Engineer do?
Prepares data and fine-tunes models when prompts and retrieval are not enough. Typical work includes: choose models and design prompts; build retrieval over your own data; create evaluation sets and guardrails; control hallucination, cost and latency.
How do we evaluate an LLM Fine-Tuning Engineer?
Ask when they advised against fine-tuning. They should care deeply about dataset quality, and hold out test data to compare results against the base model.
What skills should an LLM Fine-Tuning Engineer have?
Look for hands-on experience with Dataset preparation, LoRA, Unsloth or Axolotl, Before-and-after evaluation, plus clear communication and evidence of similar work.
When should we hire an LLM Fine-Tuning Engineer?
This role is a good fit when: you are building an assistant or copilot; answers are unreliable in testing; lLM costs are climbing without clear value.
How quickly can an LLM Fine-Tuning Engineer start?
We share matching profiles within 24 hours. After you interview and choose, onboarding usually takes 48 hours.
Who owns the work?
You do. We sign an NDA and an IP assignment agreement before work starts, and everything produced belongs to your business.
What if the person is not the right fit?
Every hire starts with a 7-day risk-free trial. After that, you can request a replacement or end the engagement with 15 days’ written notice.