About this role
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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
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Fine-tune and post-train open-weight language models and deploy them into production
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Build training datasets and evaluate model performance independently
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Work on long-context consistency, personalization, multilingual quality, group chat and better model evaluation
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Debug and optimise GPU training workloads
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Measure and ship improvements for consumer-facing conversational AI products
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Contribute to ongoing moderation and safety evaluations
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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
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Hands-on experience fine-tuning open-weight language models and deploying them into production
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Strong Python skills
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Practical experience with PyTorch and Hugging Face
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Experience with supervised fine-tuning and LoRA/QLoRA
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Familiarity with preference-based training methods such as DPO or GRPO
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Practical GPU training and debugging experience
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Ability to build training datasets and evaluate model performance independently
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Experience working on consumer-facing AI products
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Comfortable working with unrestricted AI models and adult content as part of the product, including sensitive moderation material
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A hands-on engineering profile - not an AI researcher and not a developer who simply connects to ChatGPT APIs
Benefits
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Fully remote working within Europe
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Long-term collaboration, with B2B contracting preferred
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20 working days of paid leave
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$100 monthly health insurance allowance
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Equipment budget
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Access to AI development tools
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Learning and development support
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Annual team gathering
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Opportunity to work on self-hosted LLMs powering consumer-facing AI products