Mid/Senior AI LLM Engineer

About this role

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