About EverAI

EverAI is building the future of AI companionship. With 50 million users and counting, we are shaping what it means to connect with AI and creating entirely new product categories. Our flagship product is the world's largest AI companionship platform, governed by our proprietary moderation system, EverGuard—an internal AI designed to ensure everything we build is safe, ethical, and human-first.

We are an enthusiastic, passionate, and hardworking team of ~100 people led by serial entrepreneurs who have scaled web products from 0 to IPO and multi-million dollar exits.

The Role

Most LLM roles stop at experimentation. Here, the models you improve power experiences for 50M+ users.

Most of our traffic runs on self-hosted, fine-tuned open-weight models. On our internal roleplay evals, our smaller fine-tuned models can outperform much larger off-the-shelf models. Your job is to make them better.

You’ll join a small AI team led by our LLM Tech Lead, working closely with our CTO, Product, Web, and DevOps teams. You’ll work across data, post-training, evals, and model behavior, taking ideas from failure analysis to production.

The problems are real: personalization, character consistency, long conversations, better evals, multilingual behavior, and faster training cycles.

Key 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.

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 experience with 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 systems.

Bonus Points

Experience with conversational AI, roleplay products, or highly personalized consumer AI.
Experience with multilingual LLMs.
Moderation, safety, or adversarial testing experience.
Experience with multimodal models.
Open-source LLM or post-training contributions.

What We Offer

Work From Anywhere: Fully remote environment.
Paid Time Off: 4 weeks (20 working days) of PTO per year.
Annual Gathering: Yearly in-person meetup to connect and celebrate.
Health & Wellness Support: Monthly allowance of $100 USD for health insurance expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp.
Co-Working Space Budget: Work from a co-working space up to twice per month ($35 EUR / $40 USD per visit).
Learning Budget: Dedicated funds for courses, books, conferences, and certifications.
Equipment: Company laptop provided + $250 USD monitor budget + $150 USD peripherals budget.
AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tools required.