[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 – Spain) AI Summary EverAI is seeking a mid/senior LLM engineer to improve self-hosted, fine-tuned open-weight models used by a large consumer AI companionship platform. The role covers training-data development, SFT and LoRA/QLoRA fine-tuning, post-training methods such as DPO and GRPO, evaluation design, and production deployment. The engineer will investigate model failures and use evidence to choose between data, prompting, post-training, and classifier-based solutions. Success requires strong Python, PyTorch, Hugging Face, GPU training, reproducible experimentation, and hands-on experience shipping LLMs to production. The position is fully remote for candidates in Spain and requires comfort working with uncensored and explicit NSFW material for moderation development and evaluation.[Apply for this job](#job-application)[View company](https://jobicy.com/company/everai.md)ShareRemote from[Spain](https://jobicy.com/job-region/spain.md)SalaryEUR 75k–125k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceDirectorPublished7 Nov 2026Apply before7 Dec 2026Listing views64Application actions3Application 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/159526-mid-senior-ai-llm-engineer-full-remote-spain.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 insightThis is a technically demanding production LLM role requiring deep post-training expertise, GPU debugging, evaluation design, and sound judgment across several possible model-quality interventions. The large user scale and rapid experimentation cycle increase the expected rigor and delivery pressure. ## Salary analysis Estimated compensation compared with the broader EU market for similar roles. Estimated job median (per year)Highly competitive€100,000EU market range (per year)€70k–€120k0€132k AI insightThe employer discloses a yearly base compensation range of €75,000–€125,000, with a midpoint of €100,000. Estimated European market compensation for a mid/senior production LLM engineer is approximately €70,000–€120,000 per year; this is an AI estimate rather than verified salary research. ## Core skills Skills and capabilities most closely associated with this opportunity. [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)[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)[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 post-training project you shipped to production. What problem did it solve, and how did you measure success?I would describe the user problem, baseline model behavior, data and training approach, and deployment constraints. I would quantify results with offline evaluation metrics and online product signals such as user satisfaction, task completion, retention, or reduced safety violations. How do you decide whether an LLM failure should be addressed through better data, prompting, post-training, or a classifier? I first cluster failures and create targeted evaluation cases to establish frequency, severity, and root causes. Prompting is suitable for controllable instruction gaps, data or post-training for persistent behavioral patterns, and classifiers or guardrails for reliable detection and enforcement of specific unsafe or policy-sensitive outcomes. What practices make GPU-based fine-tuning experiments reproducible and easy to compare? I version datasets, prompts, model checkpoints, code, hyperparameters, and evaluation suites, while logging hardware and library versions. I also use fixed seeds where practical, automated experiment tracking, controlled baselines, and standardized reports that compare quality, safety, latency, and cost. How would you design an evaluation suite for character consistency and long-running conversations? I would create multi-turn scenarios with stable character facts, evolving context, conflicting user inputs, and multilingual variants. The suite would combine automated checks for factual and persona consistency with human judgments for tone, engagement, and appropriate handling of uncertainty or unsafe requests. What risks should be considered when training and evaluating models on explicit or harmful content? I would apply clear data-access controls, documented annotation and handling policies, robust red-team evaluations, and layered moderation measures. 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