Mid/Senior AI LLM Engineer

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