Mid/Senior AI LLM Engineer – Remote (Europe)

About this role

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