Mid/Senior AI LLM Engineer

This is a fully remote position, open to applicants in Europe.

📋 Description

• Refine open-weight LLMs using SFT, LoRA/QLoRA, DPO, and GRPO methodologies.

• Identify model failures and assess whether to enhance data, adjust post-training, improve prompting, or optimize classifiers.

• Create training data and evaluations that will inform future training initiatives.

• Enhance model performance across personalization, consistency, tone, multilingual engagement, and group interactions.

• Deploy models into production and utilize actual user behavior to inform iterative improvements.

• Expedite the training loop to facilitate faster experiments, easier comparisons, and improved reproducibility.

• Collaborate with the AI team, CTO, Product, Web, and DevOps teams effectively.

• Manage data, post-training processes, evaluations, and model performance for a platform catering to over 50 million users.

⛳️ Requirements

• Experience in post-training open-weight LLMs for a user-facing product and successfully deploying them to production.

• Background where AI was integral to the product or business strategy.

• Fine-tuning expertise as a primary area of specialization.

• Proficient in Python, PyTorch, and Hugging Face.

• Practical experience with GPU training and debugging.

• Capacity to independently create training data and evaluations, making decisions based on evidence.

• Ability to transition work from notebooks to production environments.

• Regular use of AI tools in engineering tasks.

• Comfort in working with uncensored models and explicit NSFW content, including harmful materials while developing and assessing moderation systems.

• Experience with conversational AI, roleplay products, or highly personalized consumer AI is advantageous.

• Familiarity with multilingual LLMs is a plus.

• Background in moderation, safety, or adversarial testing is an added benefit.

• Experience with multimodal models is a bonus.

• Contributions to open-source LLMs or post-training efforts are a plus.

🏝️ Benefits

• 4 weeks (20 working days) of paid time off (PTO) annually.

• Annual in-person meetup.

• Monthly allowance of 100 USD for health insurance expenses.

• Unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp, available to up to three family members.

• Co-working space budget of up to twice a month (35 EUR / 40 USD per visit).

• Learning budget for courses, books, conferences, events, or certifications.

• Company-provided laptop.

• Monitor budget of up to 250 USD.

• Keyboard, mouse, microphone, and headphones budget of up to 150 USD.

• Premium access to ChatGPT, Hugging Face, Claude Code, and other essential tools for the role.

• Fully remote work-from-anywhere arrangement.