About EverAI

At EverAI, we’re shaping what it means to connect with AI. With 50 million users and counting, we're building 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.

Our team consists of approximately 100 passionate individuals. Our founding team brings strong executive experience from scaling tech and web products from 0 to IPO.

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.

Key challenge areas include personalization, character consistency, long conversations, 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 convert them into experiments, determining whether to adjust 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 support, and group interactions.
Ship to production and leverage real user behavior data for the next iteration.
Speed up training loops to make experiments faster, more reproducible, and easier to compare.

Qualifications

You have personally post-trained open-weight LLMs for a user-facing product and shipped them to production.
You have worked in environments where AI was core to the product or business, not an experimental feature.
Fine-tuning is core to your daily engineering experience.
Strong expertise in Python, PyTorch, and Hugging Face, with hands-on GPU training and debugging skills.
Experience building data pipelines and evals independently based on evidence.
Ability to take code beyond notebooks directly into production.
Active usage of modern AI tooling in your daily workflow.
Comfortable working with uncensored models and explicit NSFW content, including harmful material evaluated when developing moderation systems.

Bonus Points

Experience with conversational AI, roleplay products, or highly personalized consumer AI.
Expertise in multilingual LLMs.
Background in moderation, safety, or adversarial testing.
Work with multimodal models.
Open-source LLM or post-training contributions.

What We Offer

Contract Flexibility: B2B preferred, but flexible based on long-term commitment.
Work From Anywhere: 100% fully remote work setting.
Paid Time Off: 4 weeks (20 working days) of PTO per year.
Annual Gathering: Yearly in-person team meetup to connect and celebrate.
Health & Wellness Support: $100 USD/month health allowance + unlimited 1:1 sessions with psychologists and lifestyle experts via OpenUp (extended to up to 3 family members).
Co-Working Space Budget: Up to twice per month coverage (€35 / $40 per visit).
Learning Budget: Dedicated funds for courses, books, conferences, events, and certifications.
Company Laptop & Equipment: Laptop provided plus a $250 monitor budget and $150 peripheral budget.
AI Tools Access: Premium subscriptions to ChatGPT, Hugging Face, Claude Code, and other required engineering tools.