[Hiring] Mid/Senior AI LLM Engineer @Rekindly Studio

Role Description

We are hiring for a company building AI-powered conversational products. You will fine-tune and improve self-hosted large language models that power personalised AI conversations, taking improvements from experimentation all the way to production.

What you will do

• Train and fine-tune open-weight language models to improve their conversational abilities
• Build and refine training datasets for more accurate, natural and consistent responses
• Create evaluation methods to measure model quality and spot areas to improve
• Improve conversational memory, personality consistency and long-running dialogue
• Develop multilingual capabilities and multi-character interactions
• Investigate model failures and optimise training data, prompts and response filters
• Run GPU training experiments and troubleshoot technical issues
• Deploy models to production, monitor performance and keep refining them
• Work closely with AI engineering, product, web development and DevOps teams

Qualifications

• Proven hands-on experience fine-tuning open-weight LLMs and deploying them to production
• Strong Python skills
• Practical experience with PyTorch and Hugging Face (or similar tools)
• Experience with SFT, LoRA and QLoRA
• Familiarity with preference-based training such as DPO or GRPO
• Experience building training datasets and evaluation frameworks
• Hands-on GPU training and debugging
• Ability to analyse model behaviour and show measurable improvements
• Experience with consumer-facing AI products
• Comfortable working with uncensored models, explicit adult (NSFW) content and sensitive moderation material

Benefits

• Fully remote work from anywhere in Europe
• Long-term collaboration on a B2B contract
• 20 days of paid leave
• $100 monthly health insurance allowance
• Equipment budget
• Access to AI development tools
• Learning and development support
• Annual team gathering
• Hands-on work with self-hosted LLMs used by real consumers