Our Vision & Products

EverAI — Building the Future of AI Companionship

One of the Top 15 Largest & Fastest-Growing AI Companies in the World

50 Million Users in 2 years — Help Us Reach 100M first, 500M next

At EverAI , we’re shaping what it means to connect with AI. With 50 million users and counting , we're not just building products — we're creating entirely new categories.

Our flagship product is the world’s largest AI companionship platform , redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first .

And we’re only just getting started

Our Team

We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.

Alexis Soulopoulos (CEO)

10+ years in Tech Executive Leadership

Co-Founder Mad Paws Holdings (from 0 to IPO)

Forbes 30 under 30 + Deloitte TechFast50 ’22 & ’23

Michael Monin (Co-founder & CTO)

10+ years as CTO / COO (web2/web3), 3 years in AI/LLM

Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)

Thomas Lacroix (Co-founder & CMO)

8+ years in Customer Acquisition & E-commerce Growth

Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)

Maruša Fasano (CFO/Legal)

25+ years in Finance, Strategy, M&A;

Ex-CFO/M&A; @Curatible (exited to Blackstone)

Ex-President of the Board @SotremoSA (exited)





Co-founder/CFO @SoftOne (exited)

Your 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 Marco, 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.

If you want to shape model behavior at consumer scale, this is the role.

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

Your 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

Bonus points

- Experience with conversational AI, roleplay products, or highly personalized consumer AI
- Multilingual LLMs
- Moderation, safety, or adversarial testing
- Multimodal models
- Open-source LLM / post-training contributions

Why EverAI?

Exponential Growth : From 50M users in 2 years, to 100M next — and 500M beyond

Track Record of Category-Creating Innovation : We consistently launch world-first AI applications — setting the pace, not following it

General Impact : Top-tier user growth, real-world adoption, and cultural relevance

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📌 Mid/Senior AI LLM Engineer (Barcelona)
🏢 EverAI
📍 Barcelona