Jobs › Companies › EverAI › Mid/Senior AI LLM Engineer (Full Remote - Europe)

Über diese Mid/Senior AI LLM Engineer (Full Remote - Europe) Stelle bei EverAI

EverAI · Remote · Europe

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)

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!

Bereit, sich bei EverAI zu bewerben?
Bei EverAI bewerben

Wie sich dieses Gehalt für Prompt Engineer vergleicht

Diese Stelle zahlt $112,150/yr — unter der üblichen Spanne für Prompt Engineer Stellen.

$57,613 dem Median $186,528 $280,000

Übliche Spanne $131,250–$231,950/yr, aus 44 vergleichbaren Prompt Engineer Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Prompt Engineer ansehen →

Ähnliche Jobs

Nebius
Senior Machine Learning Engineer, LLM Inference Optimization
Nebius
⚡ Früh bewerben London, United Kingdom Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Wo.
Nebius
Senior Machine Learning Engineer, LLM Inference Optimization
Nebius
⚡ Früh bewerben Remote - Europe · standortgebunden
● Neu 👁 Gesehen ✓ Beworben vor 1 Wo.
Nebius
Senior Machine Learning Engineer, LLM Inference Optimization
Nebius
⚡ Früh bewerben Zurich, Switzerland Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Wo.
Hire Hangar
LLM Infrastructure Engineer
Hire Hangar
⚡ Früh bewerben Argentina - Buenos Aires · standortgebunden $30,000–$48,000
● Neu 👁 Gesehen ✓ Beworben vor 2 Std.
Bjak
LLM Application Engineer
Bjak
⚡ Früh bewerben Switzerland · standortgebunden
● Neu 👁 Gesehen ✓ Beworben vor 14 Std.
Bjak
LLM Application Engineer
Bjak
⚡ Früh bewerben Seoul, Korea Hybrid
● Neu 👁 Gesehen ✓ Beworben vor 14 Std.
Bjak
LLM Application Engineer
Bjak
⚡ Früh bewerben United States · standortgebunden
● Neu 👁 Gesehen ✓ Beworben vor 14 Std.
Plaud
Machine Learning Engineer, Inference & Serving (Speech LLM) - San Francisco
Plaud
⚡ Früh bewerben San Francisco, CA Hybrid $195,000–$365,000
● Neu 👁 Gesehen ✓ Beworben vor 18 Std.
Plaud
Machine Learning Engineer, Speech LLM Training - San Francisco
Plaud
⚡ Früh bewerben San Francisco, CA Hybrid $195,000–$365,000
● Neu 👁 Gesehen ✓ Beworben vor 18 Std.

Registrieren für Vorschläge, die auf die von Ihnen geöffneten Jobs und gespeicherten Suchen zugeschnitten sind.

Mehr Jobs bei EverAI

Alle Jobs bei EverAI ansehen →

Jetzt bewerben
🤖

Moment — langsam

JobsRadar wurde für echte Menschen gebaut, die eine schwere Zeit bei der Jobsuche haben — nicht für automatisierte Anfragen. Sie klicken viel zu schnell und sind jetzt vorübergehend blockiert.

Kommen Sie später wieder. Wenn Sie wirklich auf Jobsuche sind, stehen wir hinter Ihnen — verhalten Sie sich einfach wie ein Mensch.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Verschaffe dir einen Vorsprung bei der Jobsuche.

Tritt unserem Telegram-Kanal bei für das, was dir hilft, die Stelle zu bekommen — Gehaltsbenchmarks, den wöchentlichen Marktpuls und neue Feature-Drops. Kein Spam, nur Signal.

Dem Kanal beitreten — kostenlos