[Hiring] Mid/Senior AI LLM Engineer @EverAI

Role Description

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 behaviour, taking ideas from failure analysis to production. The problems are real:

• personalization
• character consistency
• long conversations
• better evals
• multilingual behaviour
• 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 behaviour across personalization, consistency, tone, multilingual and group interactions
• Ship to production and use real user behaviour to guide the next iteration
• Speed up the training loop so experiments are faster, easier to compare and more reproducible

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

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