Posting record
Open 12+ days
- Davidkennedyrecruitment's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
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Last checked Nov 4, 2026.
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Skills mentioned
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
- 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!!!
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