Senior Open-Weight LLM Engineer — Fully Remote

OpenKrill; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Fully remote work

4 weeks PTO per year

Annual gathering

Health & wellness budget

Co-working space budget

Learning budget

Company laptop & equipment

AI tools access

Job summary

EverAI is seeking a skilled ML Engineer to advance our open-weight LLMs powering a world-class AI companionship platform. You will own post-training, fine-tuning and evaluation pipelines, ensuring personalization, consistency and multilingual capabilities across 50M+ users.

Join a fully remote team reporting to leadership with strong product and security focus. You will collaborate with data, post-training, evals and moderation teams to drive rapid iteration from failure analysis to production

Qualifications

• You've post-trained open-weight LLMs for a user-facing product and shipped them to production.
• Experience where AI is core to the product or business, not just an experimental feature.
• Fine-tuning is core to your experience.
• Strong Python, PyTorch and Hugging Face, with hands-on GPU training and debugging.

Responsibilities

• Fine-tune open-weight LLMs using SFT, LoRA/QLoRA and post-training methods.
• Diagnose model failures and turn them into experiments; decide data, post-training, prompting or classifiers.
• Build training data and evals that shape future training iterations.
• Improve model behavior across personalization, consistency, tone, multilingual and group interactions.
• Ship to production and use real user behavior to guide next iterations.
• Speed up the training loop for faster, more comparable experiments.

Skills

Post-training LLMs

Production ML

Python

PyTorch

Hugging Face

GPU training

Data & evals

Production deployment

Tools

Git & CI/CD

Job description

EverAI is seeking a skilled ML Engineer to advance our open-weight LLMs powering a world-class AI companionship platform. You will own post-training, fine-tuning and evaluation pipelines, ensuring personalization, consistency and multilingual capabilities across 50M+ users.

Join a fully remote team reporting to leadership with strong product and security focus. You will collaborate with data, post-training, evals and moderation teams to drive rapid iteration from failure analysis to production