Remote LLM Engineer — Fine-Tune Open-Weight Models

EverAI Limited; Italia; Remote; EUR 108,000 - 161,000; Full time

Benefits offered by this job

PTO 4 weeks

Annual gathering

Health & wellness budget

Co-working budget

Learning budget

Equipment budget

AI tools access

Job summary

EverAI Limited is hiring for a senior LLM engineer to join a fully-remote team building next-generation AI companionship products. You will work across data, post-training, evals, and model behavior to ship improved models at consumer scale.

You will collaborate with the CTO, product, and DevOps to drive experimentation and deployment, focusing on personalization, safety, and multilingual capabilities. This role offers a fully remote work environment with global impact.

Qualifications

• You have shipped user-facing open-weight LLMs in production.
• Experience in AI core products, not just experimental features.
• Fine-tuning is central to your work.
• Strong Python and PyTorch with hands-on GPU training and debugging.

Responsibilities

• Fine-tune open-weight LLMs using SFT, LoRA/QLoRA and post-training methods such as DPO and GRPO.
• Diagnose model failures and turn them into experiments. Decide whether the answer is better data, post-training, prompting or classifiers.
• Build training data and evals that directly shape what gets trained next.
• Improve model behavior across personalization, consistency, tone, multilingual and group interactions.
• Ship to production and use real user behavior to guide the next iteration.
• Speed up the training loop so experiments are faster, easier to compare, and more reproducible.

Skills

Post-training LLMs

Fine-tuning

Python

PyTorch

Hugging Face

GPU training

Data & evals

Tools

CUDA

Hugging Face Hub

GPU clusters

Job description

EverAI Limited is hiring for a senior LLM engineer to join a fully-remote team building next-generation AI companionship products. You will work across data, post-training, evals, and model behavior to ship improved models at consumer scale.

You will collaborate with the CTO, product, and DevOps to drive experimentation and deployment, focusing on personalization, safety, and multilingual capabilities. This role offers a fully remote work environment with global impact.