Mid/Senior AI LLM Engineer
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Skills
About the role
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!!!