- Location
- Paris · London · Lisbon · Milan · Rome · Berlin · Athens · Barcelona · Bari · Split · Copenhagen · Oslo · Tallinn · Limassol · Budapest · Florence · Amsterdam · Stockholm · Warsaw · Kraków · Lublin · Opole · Tokyo · Seoul · Beijing · Taipei City · Hong Kong · Chongqing · Bangkok · Manila · Kuala Lumpur · Singapore · Hanoi · Hanover · Wuhan · Shanghai · Hangzhou · Mumbai · Doha · Tel Aviv-Yafo · Riyadh · Madrid, EMEA
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Seniority
- Mid
- Source
- Teamtailor
Description
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!!!