Mid/senior ai llm engineer

The role focuses on fine-tuning and improving self-hosted large language models that power personalised AI conversations. You will work hands-on with open-weight models, training datasets, evaluation frameworks and GPU-based training, taking model improvements from experimentation through to production deployment., * Train and fine-tune existing AI language models to improve their conversational abilities

• Prepare and improve training datasets to help models produce more accurate, natural and consistent responses
• Develop testing methods to measure model quality and identify areas for improvement
• Improve conversational memory, personality consistency and long-running dialogue
• Develop multilingual conversational capabilities and interactions involving multiple characters
• Investigate model failures and optimise training data, prompts and response filters
• Run model training experiments using GPUs and troubleshoot technical issues
• Deploy improved models into production, monitor their performance and continue refining them
• Collaborate with AI engineering, product, web development and DevOps teams

• Proven hands-on experience fine-tuning open-weight AI language models and deploying them into production
• Strong Python programming skills
• Practical experience with PyTorch and Hugging Face or comparable machine-learning tools
• Experience with model training techniques such as supervised fine-tuning, LoRA and QLoRA
• Familiarity with preference-based training techniques such as DPO or GRPO
• Experience building training datasets and model evaluation frameworks
• Practical experience with GPU-based training and debugging
• Ability to analyse model behaviour, troubleshoot issues and demonstrate measurable improvements
• Experience working with consumer-facing AI products
• Comfort working with uncensored AI models, explicit adult/NSFW content and sensitive moderation material

• Fully remote working within Europe
• Long-term collaboration, with B2B contracting preferred
• 20 working days of paid leave
• $100 monthly health insurance allowance
• Equipment budget
• Access to AI development tools
• Learning and development support
• Annual team gathering
• Opportunity to work on self-hosted LLMs powering consumer-facing AI products
• And many more!!!