Tech Lead, LLM & Generative AI; Full Remote
Netherlands
Listed on 2025-12-24
-
IT/Tech
AI Engineer
Our Vision & Products
🚀 EverAI — Building the Future of AI Companionship
One of the Top 15 Largest & Fastest-Growing AI Companies in the World
35+ 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 35+ 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 girlfriend/boyfriend 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 TeamWe are an enthusiastic, passionate and hardworking team of 70 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 Tech Fast
50 ’22 & ‘23
Michael Monin [Co-founder & CTO]
• 10+ years as CTO / COO (web2/web3), 1+ year 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)
MarusÌŒa Fasano [CFO/Legal]
• 25+ years in Finance, Strategy, M&A
• Ex-CFO/M&A @Curatible (exited to Blackstone)
• Ex-President of the Board @Sotremo
SA (exited)
• Co-founder/CFO @Soft One (exited)
The OpportunityWe aren't building a wrapper; we are building a massive-scale conversational intelligence. EverAI has created a platform dedicated to personalized human connection, enabling millions of users to create and interact with highly personalized AI companions.
EverAI is processing 80 million tokens per day and growing. We are looking for a Tech Lead to take the helm of our LLM team (currently 3 engineers) and own the architecture, training, and deployment of the models that power our core product.
This is a role for a builder. You won't just be managing Jira tickets; you will be writing production code, defining our alignment strategy, and shipping features used by millions of users globally
. We operate in the uncensored/NSFW space, which presents unique, high-complexity challenges in alignment, moderation, and steerability that you won't find in standard corporate AI.
Massive Scale: You will solve latency, throughput, and context management challenges at a scale of 80M+ daily tokens.
Production Focus: This is not a research sandbox. If you fine-tune a model today, it impacts millions of users tomorrow.
Nuanced Engineering: Because we are "uncensored," we cannot rely on lazy, blanket safety filters. You will build sophisticated classifiers and alignment strategies to balance user freedom with strict safety guardrails.
1. Ship Code & Lead from the Front
Act as a Player/Coach:
Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch).Own the core chat loop:
Optimize context windows, memory/RAG retrieval, and inference latency to ensure a seamless, real-time experience.
2. Own the Model Lifecycle
Drive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization). You decide when to prompt, when to fine-tune, and when to architect a new RAG pipeline.
Manage the "Data Engine": oversee the sourcing, labeling, and cleaning of diverse datasets to improve model steerability and multicultural performance.
3. Architect High-Precision Moderation
Build the immune system of the platform. You will design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment.
Move beyond binary "safe/unsafe" flags to create nuanced, context-aware moderation systems.
The Non-Negotiables:
You have shipped AI at scale. You have 8+ years of engineering experience, with a significant portion dedicated to shipping ML/LLM features to millions of active users
.You are deeply…
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