Mid/Senior AI LLM Engineer

David Kennedy Recruitmentis working with a company developing AI-powered conversational products, that is seeking to onboard a Mid/Senior AI LLM Engineerto join their team remotely. 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. Position: Mid/Senior AI LLM Engineer Location: Europe, Remote Employment type: B2B engagement DUTIES AND RESPONSIBILITIES: - 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 REQUIREMENTS: - 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 BENEFITS: - 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!!! Originally posted on Himalayas