AI LLM Engineer

David Kennedy Recruitment; United States; Remote; USD 101,000 - 169,000; Full time

Benefits offered by this job

Health insurance allowance

Equipment budget

Access to AI development tools

Learning and development support

Annual team gathering

Job summary

David Kennedy Recruitment seeks a Mid/Senior AI LLM Engineer to work remotely within Europe on fine-tuning self-hosted LLMs powering consumer AI conversations. You will train and evaluate models using GPUs, develop data pipelines, and push improvements from experimentation to production deployment.

The role requires hands-on ML experience with open-weight models, PyTorch, and Hugging Face, plus strong Python skills and a track record of deploying models in production environments.

Qualifications

• Hands-on experience fine-tuning open-weight AI language models and deploying them to production.
• Strong Python programming skills and practical ML tooling experience.
• Experience with PyTorch and Hugging Face or similar frameworks.

Responsibilities

• Train and fine-tune language models to improve conversational abilities.
• Prepare and improve training datasets for accurate, natural responses.
• Develop testing methods to measure model quality and identify improvements.
• Improve memory, personality consistency and long-running dialogues.
• Develop multilingual capabilities and interactions among multiple characters.
• Investigate failures and optimize data, prompts and filters.
• Run GPU-based training experiments and troubleshoot issues.
• Deploy improved models into production and monitor performance.

Skills

Python programming

Open-weight LLMs

GPU-based training

Model evaluation

Multilingual capabilities

Tools

PyTorch

Hugging Face

Job description

Описание:

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

Задачи:

• 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

Требования:

• 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

Условия:

• 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!!!