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!!!