[All remote jobs](https://jobicy.com/jobs.md)[![EverAI logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/91735b0b-221.png)](https://jobicy.com/company/everai.md)[EverAI](https://jobicy.com/company/everai.md) # Mid/Senior AI LLM Engineer (Full Remote – Netherlands) AI Summary EverAI is seeking a mid-to-senior LLM engineer to improve self-hosted, fine-tuned open-weight models used by a large consumer AI companionship platform. The role covers the full post-training loop: diagnosing failures, creating datasets and evaluations, fine-tuning with SFT, LoRA/QLoRA, DPO and GRPO, and shipping improvements to production. The engineer will work closely with AI, product, web and DevOps colleagues on personalization, character consistency, multilingual behavior and long-context conversations. This is a high-ownership remote position for someone with proven production experience training and deploying LLMs. Comfort working with explicit NSFW and potentially harmful content for moderation development and evaluation is required.[Apply for this job](#job-application)[View company](https://jobicy.com/company/everai.md)ShareRemote from[Netherlands](https://jobicy.com/job-region/netherlands.md), [Portugal](https://jobicy.com/job-region/portugal.md)SalaryEUR 75k–125k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceDirectorPublished7 Nov 2026Apply before7 Dec 2026Listing views49Application actions4Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. ### Our Vision & Products 🚀 [EverAI](https://jobicy.com/company/everai.md) — 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 of 100 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! Show more [Apply now >](https://jobicy.com/jobs/159586-mid-senior-ai-llm-engineer-full-remote-netherlands.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThe position requires demonstrated production post-training expertise, GPU debugging, evaluation design and evidence-based decisions across data, prompting and model methods. Work affects a large-scale consumer product and demands rapid, reproducible experimentation. ## Salary analysis Estimated compensation compared with the broader EU market for similar roles. Estimated job median (per year)Market rate€100,000EU market range (per year)€80k–€135k0€148.50k AI insightThe employer discloses a base compensation range of €75,000–€125,000 per year, with a midpoint of €100,000. Estimated European market compensation for a mid-to-senior production LLM engineer is approximately €80,000–€135,000 per year; these are AI estimates, not verified salary research. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[PyTorch](https://jobicy.com/jobs?search_keywords=PyTorch.md)[Hugging Face](https://jobicy.com/jobs?search_keywords=Hugging%20Face.md)[Large Language Models](https://jobicy.com/jobs?search_keywords=Large%20Language%20Models.md)[LLM fine-tuning](https://jobicy.com/jobs?search_keywords=LLM%20fine-tuning.md)[Supervised fine-tuning](https://jobicy.com/jobs?search_keywords=Supervised%20fine-tuning.md)[LoRA](https://jobicy.com/jobs?search_keywords=LoRA.md)[QLoRA](https://jobicy.com/jobs?search_keywords=QLoRA.md)[Direct Preference Optimization](https://jobicy.com/jobs?search_keywords=Direct%20Preference%20Optimization.md)[GRPO](https://jobicy.com/jobs?search_keywords=GRPO.md)[GPU training](https://jobicy.com/jobs?search_keywords=GPU%20training.md)[Model evaluation](https://jobicy.com/jobs?search_keywords=Model%20evaluation.md)[Training data curation](https://jobicy.com/jobs?search_keywords=Training%20data%20curation.md)[MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md)[AI safety](https://jobicy.com/jobs?search_keywords=AI%20safety.md) Sample interview questionsDescribe an open-weight LLM you post-trained and deployed to a user-facing product. What changed after deployment?I would explain the model, the starting failure modes, the post-training approach, evaluation criteria, deployment process, and measured changes in user-facing quality, safety, latency, or engagement. How do you decide whether an LLM failure should be addressed through data, prompting, fine-tuning, or a classifier? I first cluster and quantify failures using targeted evaluations and production examples. I use prompting for controllable presentation issues, data or post-training for repeated behavioral gaps, and classifiers or policy layers when deterministic safety enforcement is needed. How would you build an evaluation suite for character consistency and long conversations? I would define behavioral rubrics, create multi-turn scenarios with controlled facts and contradictory prompts, include adversarial cases, and track automated and human-scored metrics by failure category across every model iteration. What practices make GPU training experiments reproducible and fast to compare? I would version datasets, prompts, code, model checkpoints, and configuration files; log seeds and hardware details; standardize evaluation gates; and use experiment tracking to compare quality, cost, throughput, and regressions. How would you approach training and evaluating models that may encounter explicit or harmful content? I would use tightly governed datasets and access controls, establish clear labeling and safety taxonomies, separate allowed from disallowed behaviors, conduct adversarial evaluations, and validate moderation safeguards before release. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. 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