Remote AI LLM Engineer (Mid/Senior) – Fine-Tune & Deploy

David Kennedy Recruitment Limited; Oregon; Hybrid; USD 150,000 - 240,000; Full time

Benefits offered by this job

Fully remote working within Europe

Long-term collaboration, with B2B

20 working days of paid leave

$100 monthly health insurance budget

Equipment budget

Access to AI development tools

Learning and development support

Annual team gathering

Opportunity to work on self-hosted LLM

And many more!!!

Job summary

David Kennedy Recruitment is seeking a Mid/Senior AI LLM Engineer to fine-tune and improve self-hosted LLMs powering consumer-facing AI conversations. The role is remote in Europe, with a B2B engagement and long-term collaboration.

You will work hands-on with open-weight models, design training datasets, evaluate frameworks, and manage GPU-based training from experiments to production deployment.

Qualifications

• Hands-on experience fine-tuning open-weight AI language models and deploying them to production.
• Strong Python programming skills.
• Experience with PyTorch and Hugging Face or comparable ML tools.
• Experience with training techniques: supervised fine-tuning, LoRA, QLoRA.
• Familiarity with preference-based training: DPO or GRPO.
• Experience building training datasets and evaluation frameworks.
• GPU-based training and debugging experience.
• Ability to analyze model behavior and show measurable improvements.
• Experience working with consumer-facing AI products.
• Comfort working with uncensored AI models and sensitive moderation material.

Responsibilities

• Train and fine-tune existing AI language models to improve conversational abilities.
• Prepare and improve training datasets for more accurate, natural responses.
• Develop testing methods to measure model quality and identify improvements.
• Improve conversational memory and long-running dialogue consistency.
• Develop multilingual conversational capabilities and multi-character interactions.
• Investigate model failures and optimize training data, prompts and filters.
• Run model training experiments using GPUs and troubleshoot issues.
• Deploy improved models into production and monitor performance.
• Collaborate with AI engineering, product, web development and DevOps teams.

Skills

Python programming

Model fine-tuning

PyTorch

Hugging Face

GPU-based training

Tools

PyTorch

Hugging Face

Job description

David Kennedy Recruitment is seeking a Mid/Senior AI LLM Engineer to fine-tune and improve self-hosted LLMs powering consumer-facing AI conversations. The role is remote in Europe, with a B2B engagement and long-term collaboration.

You will work hands-on with open-weight models, design training datasets, evaluate frameworks, and manage GPU-based training from experiments to production deployment.