Mid/Senior AI LLM Engineer

David Kennedy Recruitment is 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