The company — Building the Future of AI Companionship
One of the Top 15 Largest & Fastest-Growing AI Companies in the World
At the company , we’re shaping what it means to connect with AI.
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
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
Thomas Lacroix [Co-founder & CMO]
8+ years in Customer Acquisition & E-commerce Growth
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)
Responsibilities
Most LLM roles stop at experimentation.
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
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 the company?
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
Benefits
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!
About the company
Hidden companyCompany hidden
Industry: AI
Good
Your chances
Still hiring, not crowded yet, and you'd be among the first.
17 checks run
6 good signs
1 red flag
Still hiring?
11 checks
Actively hiring
StaleHiring
In its favour4
Still on the company's own careers site, checked 1 h agoModerate evidence
Found in the last 48 hours, before the big job boardsModerate evidence
Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
1 moreFewer
States its salarySlight evidence
How crowded?
6 checks
Low
QuietCrowded
In its favour2
In its Early Window: not on the big job boards yetStrong evidence
Senior level: far fewer people qualifySlight evidence
Against it1
Remote from anywhere: the widest pool of applicants there isModerate evidence
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Fits Me
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