Mid/Senior AI LLM Engineer

David Kennedy Recruitment; Paris; Remote; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Remote within Europe

Long-term collaboration (B2B)

Paid leave 20 days

Health insurance allowance $100/mo

Equipment budget

Learning and development support

Annual team gathering

Work on self-hosted LLMs powering AI

Job summary

David Kennedy Recruitment is seeking a Mid/Senior AI LLM Engineer to join a Europe-wide, remote team. The role focuses on fine-tuning and improving self-hosted large language models powering 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.

Qualifications

• Proven hands-on experience fine-tuning open-weight AI language models and deploying to production.
• Strong Python and ML framework experience.
• Experience with supervised fine-tuning, LoRA/QLoRA, and preference-based training (DPO/GRPO).

Responsibilities

• Fine-tune and improve open-weight language models for production use.
• Prepare and refine training datasets for natural, accurate responses.
• Develop testing methods to measure model quality and identify improvements.
• Improve memory, personality consistency, and long-running dialogue.
• Support multilingual capabilities and multi-character interactions.
• Experiment with training prompts and data; analyze failures and optimize.
• Run GPU-based training experiments and troubleshoot issues.
• Deploy models to production and monitor performance.

Skills

Python programming

PyTorch

Hugging Face

LoRA/QLoRA techniques

DPO/GRPO

Dataset preparation

GPU-based training

Model evaluation

Tools

CUDA

PyTorch Lightning

Git

Job description

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:

• 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!!!