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 Engineer to 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: - Fine-tune open-weight large language models using techniques such as supervised fine-tuning (SFT), LoRA, QLoRA, DPO and GRPO - Build and maintain training datasets and model evaluation frameworks - Improve conversational memory, personality consistency and long-running dialogue quality - Develop multilingual conversational capabilities and group interaction behaviours - Diagnose model failures and optimise training data, prompts and classifiers - Run GPU-based training experiments, debug issues and assess model performance - Deploy improved models into production, measure results and iterate on performance - Collaborate with the LLM Tech Lead, CTO, Product, Web and DevOps teams to deliver model improvements REQUIREMENTS: - Proven hands-on experience fine-tuning open-weight LLMs and deploying them into production - Strong Python programming skills - Practical experience with PyTorch and Hugging Face - Hands-on experience with GPU-based model training and debugging - Experience with supervised fine-tuning and parameter-efficient fine-tuning techniques, including LoRA or QLoRA - Familiarity with preference optimisation techniques such as DPO or GRPO - Ability to independently build training datasets and model evaluation frameworks - Experience working with consumer-facing AI products - Comfort working with uncensored AI models, explicit adult/NSFW content and sensitive moderation material - Ability to diagnose model behaviour issues and translate findings into measurable improvements 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!!!