Mid/Senior AI LLM Engineer (Full Remote - Europe)

EverAI

Source: AshbyLocation: EUPublished: Oct 20, 2026Confirmed active: Oct 24, 2026
Full-timeFreelance / ContractE-Commerce

Key points from the posting

Tech stack
LLMSFTLoRAQLoRADPOGRPOPythonPyTorchHugging FaceGPU
Seniority:
Senior

Automatically extracted

Our assessment

  • Our reading of the full posting text confirms it: fully remote.
  • The posting states no salary. Comparable roles in our index (103 postings): median 5,833 euros per month, middle range 4,650 to 6,875 euros.
  • 8 more open roles from this employer in our index. 8 of them fully remote.

Automated assessment by nomado24, not an employer statement.

Job description

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

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

Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship

Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity

Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale

WHAT WE OFFER

Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact
Work From Anywhere: Fully remote. Choose the environment where …

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