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AI LLM Engineer; Full Remote - Italy

Remote / Online - Candidates ideally in
Chicago, Cook County, Illinois, 60601, USA
Listing for: EverAI
Full Time, Remote/Work from Home position Listed on 2026-11-11
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Evaluation, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR

Job Description & How to Apply Below

Position: AI LLM Engineer (Full Remote - Italy)
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, Ever Guard - an internal AI designed to ensure everything we build is safe, ethical, and human-first.

And we're only just getting started!

Our Team
  • Alexis Soulopoulos [CEO] - 10+ years in Tech Executive Leadership
    - Co-Founder Mad Paws Holdings (from 0 to IPO) - Forbes 30 under 30 + Deloitte Tech Fast
    50 '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
  • 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 Ever Guard, 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…
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