Remote LLM Engineer (Open-Weight) — Scale AI for 50M+ Users

EverAI Limited; United States; A distancia; USD 180.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote team

Learning budget

Health & wellness support

Descripción de la vacante

EverAI Limited is hiring for a highly technical LLM-focused role aimed at shaping AI companionship at consumer scale. You will work on self-hosted, fine-tuned open-weight models, improving personalization, consistency and multilingual behavior while coordinating with CTO, Product, Web, and DevOps teams.

You will fine-tune using SFT/LoRA/QLoRA and post-training methods, diagnose failures, and push models into production with an emphasis on safety and ethics through EverGuard moderation.

Formación

• You’ve post-trained open-weight LLMs for a user-facing product and shipped them to production.
• AI is core to the product, not a mere experiment.
• Strong Python, PyTorch and Hugging Face with GPU training.
• You build data and evals yourself and make evidence-based decisions.
• You work beyond notebooks to production systems.
• You use AI tools daily in engineering work.
• You are comfortable working with uncensored models including NSFW content for moderation research.

Responsabilidades

• 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.
• Build training data and evals that shape future training.
• Improve model behavior in personalization, consistency, tone, multilingual and interaction groups.
• Ship to production and use real user behavior for iteration.
• Speed up the training loop for faster experiments.

Conocimientos

Post-training LLMs

Fine-tuning

Python

PyTorch

Hugging Face

GPU training

Production deployment

Multilingual LLMs

Moderation safety

Research to production

Herramientas

PyTorch

Hugging Face

Open-weight LLMs

LoRA/QLoRA

Descripción del empleo

EverAI Limited is hiring for a highly technical LLM-focused role aimed at shaping AI companionship at consumer scale. You will work on self-hosted, fine-tuned open-weight models, improving personalization, consistency and multilingual behavior while coordinating with CTO, Product, Web, and DevOps teams.

You will fine-tune using SFT/LoRA/QLoRA and post-training methods, diagnose failures, and push models into production with an emphasis on safety and ethics through EverGuard moderation.