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