Remote AI LLM Engineer — Fine-Tune Open-Weight Models

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

Benefits offered by this job

Remote work

4 weeks PTO

Annual in-person gathering

Health & Wellness support

Co-working space budget

Learning budget

Company laptop & equipment

AI tools access

Job summary

EverAI is seeking a senior AI engineer to take ownership of post-training, fine-tuning, and evaluating open-weight LLMs that power our consumer-facing AI companionship platform. You will collaborate with the CTO, product, and data teams to drive production-ready models that improve personalization, multilingual behavior, and safety at scale.

You will work with self-hosted models, optimize training loops, and translate experiments into deployed features, ensuring efficient, reproducible results

Qualifications

• You’ve personally 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 an experimental side 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 fully comfortable working with uncensored models and explicit NSFW content, including harmful material when developing and evaluating moderation system

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-trained LLMs in production

AI in product/core business

Python

PyTorch

Hugging Face

Data & evals from evidence

Production deployment

Uncensored model handling

AI tool usage daily

Tools

GPUs

Job description

EverAI is seeking a senior AI engineer to take ownership of post-training, fine-tuning, and evaluating open-weight LLMs that power our consumer-facing AI companionship platform. You will collaborate with the CTO, product, and data teams to drive production-ready models that improve personalization, multilingual behavior, and safety at scale.

You will work with self-hosted models, optimize training loops, and translate experiments into deployed features, ensuring efficient, reproducible results