Mid/Senior AI LLM Engineer – Remote (Europe)

This is a remote position. About the role We are looking for a hands-on Mid/Senior AI LLM Engineer to improve the self-hosted large language models that power consumer-facing conversational AI products. The role centres on fine-tuning open-weight LLMs, building datasets and evaluations, debugging GPU training runs and taking measurable improvements into production. This is a specialist post-training engineering position: you will own the full loop from data and training to evaluation and deployment. It is not an AI research role, nor a role connecting to third-party chatbot APIs. Key responsibilities Fine-tune and post-train open-weight language models and deploy them into production Build training datasets and evaluate model performance independently Work on long-context consistency, personalization, multilingual quality, group chat and better model evaluation Debug and optimise GPU training workloads Measure and ship improvements for consumer-facing conversational AI products Contribute to ongoing moderation and safety evaluations Location and terms: Fully remote within Europe. Start: ASAP. Salary: EUR 80,000–120,000 gross per year. Long-term collaboration, with B2B contracting preferred. Requirements Hands-on experience fine-tuning open-weight language models and deploying them into production Strong Python skills Practical experience with PyTorch and Hugging Face Experience with supervised fine-tuning and LoRA/QLoRA Familiarity with preference-based training methods such as DPO or GRPO Practical GPU training and debugging experience Ability to build training datasets and evaluate model performance independently Experience working on consumer-facing AI products Comfortable working with unrestricted AI models and adult content as part of the product, including sensitive moderation material A hands-on engineering profile - not an AI researcher and not a developer who simply connects to ChatGPT APIs 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 Originally posted on Himalayas