Senior LLM Engineer — Remote, Open-Weight AI at Scale

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

Job summary

EverAI Limited is seeking a senior MLOps/LLM engineer to fine-tune open-weight LLMs for a consumer-facing AI companionship platform. You will work across data, post-training, evals, and model behavior, turning failures into experiments and shipping improvements to production.

You’ll join a small, fully remote team led by the CTO and collaborate with product, web, and DevOps. Expect multilingual, personalized interactions and faster training cycles.

Qualifications

• You’ve post-trained open-weight LLMs for a user-facing product and shipped them to production.
• You’ve worked where AI was 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.
• You build data and evals yourself and make decisions from evidence.
• You can take work beyond notebooks into production.
• You use AI tools daily in your own engineering work.
• You are comfortable with uncensored models and NSFW content during development and evaluation.

Responsibilities

• Fine-tune open-weight LLMs using SFT, LoRA/QLoRA and post-training methods like DPO and GRPO.
• Diagnose model failures and turn them into experiments.
• Decide whether improvements come from data, post-training, prompting or classifiers.
• Build training data and evals that shape future training iterations.
• Improve model behavior across personalization, multilinguality, and group interactions.
• Ship to production and use real user behavior to guide iterations.
• Speed up the training loop for faster, reproducible experiments.

Skills

Post-trained open-weight LLMs

Production-grade AI software

Fine-tuning

Python

PyTorch

NLP evals

Data & evals design

Experiment-driven

AI in consumer product

Tools

Hugging Face

GPU training

Job description

EverAI Limited is seeking a senior MLOps/LLM engineer to fine-tune open-weight LLMs for a consumer-facing AI companionship platform. You will work across data, post-training, evals, and model behavior, turning failures into experiments and shipping improvements to production.

You’ll join a small, fully remote team led by the CTO and collaborate with product, web, and DevOps. Expect multilingual, personalized interactions and faster training cycles.