Tech Lead, LLM & Generative AI (Full Remote - UK)
3 days ago Be among the first 25 applicants
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
About EverAI
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, EverGuard, an internal AI designed to ensure everything we build is safe, ethical, and human‑first.
And we’re only just getting started!
The Opportunity
We 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.
Why this role is distinct
- Massive Scale: 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. Build sophisticated classifiers and alignment strategies to balance user freedom with strict safety guardrails.
What You Will Do
- 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.
- Own the Model Lifecycle
- Drive our strategy for SFT and RLHF/DPO (Preference Optimization). 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.
- Architect High‑Precision Moderation
- Build the immune system of the platform. 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.
Who You Are
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 technical. Proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine‑tuning pipelines, eval frameworks).
- You understand the "Uncensored" challenge. Comfortable working with NSFW content and understand the technical rigor required to moderate it effectively without breaking the user experience.
- Intuition for Alignment: Understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the "soul" of a chatbot.
- Doer Mindset: Value velocity. Can distinguish between a "perfect" academic solution and a "shippable" production solution.
- Owner: Obsess over metrics, regressions, and the user experience long after the code has been merged.
The Tech Stack & Environment
- Scale: 80M+ Daily Tokens.
- Team: You + 3 AI Engineers (reporting to you) + DevOps/Web collaborations.
- Culture: High autonomy, low bureaucracy, direct line to the CTO.
Are you ready to build the engine for millions of users? Let's talk.
Why EverAI?
- 🏈 Exponential Growth: From 35M+ 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: Senior team 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: Prefer B2B, flexible, 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.
- 👨👩👧👦 Annual Gathering: Yearly in‑person meetup to connect, brainstorm, and celebrate wins together.
- ❤️🩹 Health & Wellness Support: Up to $200 per year for wellbeing expenses + unlimited 1:1 sessions with psychologists and lifestyle experts (OpenUp, available for up to three family members).
- 🏢 Co‑Working Space Budget: Work from a co‑working space up to twice per month (35 EUR / 40 USD per visit).
- 📚 Learning Budget: Dedicated funds for courses, books, conferences, events, or certifications.
- 💻 Equipment: Company laptop + monitor budget up to $250.
- ⚡ AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, and others.
Referral Program
Know someone who could be a great fit? Refer them through the EverAI External Referral Program and earn a bonus of up to $2,500 if they’re hired. Submit a referral here.