Mid/Senior AI LLM Engineer

Location

Europe

Employment Type

Full time

Location Type

Remote

Department

R&D

Compensation

• Annual Compensation Range (Gross) €75K – €125K

Compensation: Our compensation ranges are based on role level, location, and market data, and are applied consistently regardless of previous compensation or negotiation history. Published ranges reflect total gross annual compensation, including any applicable target bonus. The final offer within the range reflects relevant experience, qualifications, and role responsibilities.

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 iterationSpeed 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-s