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

EverAI; Nederland; Remote; EUR 75,000 - 125,000; Full time

Job summary

EverAI in the Netherlands seeks an experienced AI engineer to advance open-weight LLMs powering a consumer-facing product. You’ll post-train models, build data and evals, and deploy them at scale in production.

You will collaborate with the LLM Tech Lead, CTO and cross‑functional teams to improve personalization, multilingual behavior and faster training cycles for a global user base.

Join a fully remote, fast-moving team building category-defining AI companionship.

Qualifications

• You’ve personally post-trained open-weight LLMs for a user-facing product and shipped them to production

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

Skills

Post-trained LLMs

AI in product

Fine-tuning

Python

PyTorch

Hugging Face

Data & evals

Production-ready

AI tools daily

NSFW content

Tools

GPUs

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 you do your best work
Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset
Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together
Health & Wellness Support: Monthly allowance of100 USD for health insurance expenses & access to unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available to up to three of your family members)
Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected
Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications
Company Laptop & Equipment: Laptop provided + monitor budget up to 250 USD + keyboard/mouse/mic/headphones budget up to 150 USD
AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows

Top Tier Talent Is Our Multiplier

We’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with.

We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.

If that’s you — reach out and apply!

Compensation: €75K – €125K

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