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Write an articleAn LLM engineer makes large language models work well for your task: fine-tuning or distilling models, building evaluation sets, serving open models efficiently and cutting cost and latency. Hire one through DevSocial when prompts alone are no longer enough.
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Describe who you need, in your own words. We turn it into a short brief you can check.
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The role, the skills, the seniority, how long and how you want to work.
Developers whose experience fits, with their background and work you can look at.
Meet them, test them and ask anything. You decide.
Full time, part time, contract or project; remote or on site.
Often not. Better prompts, retrieval (RAG) and evaluation solve most problems. Fine-tuning pays off for a narrow, repeated task, a specific format or style, or when a smaller model must match a larger one.
Yes. Open models such as Llama, Mistral and Qwen can be served on your GPUs or private cloud with tools like vLLM, keeping data inside your network.
With an evaluation set built from your real cases, scored automatically and spot-checked by people, and run on every change to prompts, models or data.
Tell us what you need. We review it with you, put forward developers whose experience fits, you interview them, and you decide. You can hire full time, part time, on contract or for a project, remote or on site.
It depends on the role, seniority, length and how you engage. Tell us what you need and we will come back with options. There is no charge to talk.
DevSocial is where developers learn, write and share. Its members' work is public: what they have written and answered, their rank and their skills, so you can see how someone thinks before you meet them.
Tell us the role and the skills. There is no charge to talk.
Tell us what you need