Mid/Senior AI LLM Engineer

David Kennedy Recruitment Ltd.; Francia; A distancia; EUR 90.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote Europe

B2B contracting

Paid leave 20 days

Health insurance allowance

Equipment budget

Access to AI development tools

Learning and development support

Annual team gathering

Opportunity to work on self-hosted LLM

And many more!!!

Descripción de la vacante

David Kennedy Recruitment is working with a company developing AI-powered conversational products, 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, training datasets, evaluation frameworks and GPU-based training, taking model improvements from experimentation through to production deployment.

Formación

• Hands-on experience fine-tuning open-weight AI language models for production.
• Strong Python programming skills.
• Experience with PyTorch and Hugging Face.
• Proficient in LoRA/QLoRA fine-tuning methods.
• Familiarity with DPO/GRPO preference-based training.
• Experience building training datasets and evaluation frameworks.
• Practical experience with GPU-based training and debugging.
• Experience with consumer-facing AI products.
• Comfort with uncensored AI content and moderation material.

Responsabilidades

• Train and fine-tune language models to improve conversation quality.
• Prepare and improve training datasets for natural responses.
• Develop testing methods to measure model quality.
• Improve memory, personality consistency, and long-running dialogue.
• Develop multilingual conversational capabilities.
• Investigate model failures and optimize data and prompts.
• Run GPU-based training experiments and troubleshoot issues.
• Deploy models into production and monitor performance.
• Collaborate with AI engineering, product, web, and DevOps teams.

Conocimientos

Fine-tuning LLMs

Python

PyTorch

Hugging Face

LoRA/QLoRA

DPO/GRPO

Data preparation

GPU training

Model deployment

Production ML

Herramientas

Hugging Face

Descripción del empleo

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!!!