AI LLM Engineer (Full Remote - Spain)

EverAI; United States; Remote; USD 140,000 - 240,000; Full time

Benefits offered by this job

PTO 20 days/year

Annual in-person gathering

Health & wellness stipend

Job summary

EverAI Limited is building the future of AI companionship with a globally distributed, fully remote team powering the world's largest AI collaboration platform. You will contribute to open-weight LLMs used by millions, shaping behavior, safety and multilingual capabilities at consumer scale.

The role emphasizes hands-on post-training, fine-tuning with SFT, LoRA/QLoRA, and evaluation, deploying models to production using Python, PyTorch and Hugging Face on GPU clusters in a fast-paced,

Qualifications

• Post-trained open-weight LLMs for a user-facing product and shipped them to production.
• Experience with fine-tuning is core to the product, not exploratory research.
• Strong Python, PyTorch and Hugging Face with hands-on GPU training.

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; determine data vs. training vs. prompting needs.
• Build data and evals to influence the next training iteration; production deployment.

Skills

Post-training open-weight LLMs

Fine-tuning for product

Python

PyTorch

Hugging Face

GPU training & debugging

Multilingual LLMs

Evaluation & data creation

Moderation & safety

Open-source contributions

Tools

PyTorch

Hugging Face

GPUs

Job description

Описание:

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)

Задачи:

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. 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

Требования:

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 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

Условия:

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

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 move fast…