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Responsibilities:

  • Fine-tune and optimize open-weight LLMs to improve conversational quality and personalization.
  • Prepare and manage training datasets, design evaluation frameworks, and deploy models to production.
  • Collaborate with cross-functional teams to enhance memory, multilingual interactions, and model safety.

Requirements:

  • Strong experience fine-tuning open-weight LLMs and deploying them in production.
  • Proficiency in Python, PyTorch, Hugging Face, and model adaptation techniques like LoRA/QLoRA.
  • Ability to work independently in a remote environment and drive measurable improvements.

Benefits:

  • Fully remote work within Europe with long-term collaboration.
  • 20 paid leave days and monthly health insurance allowance.
  • Equipment budget, AI tools, and learning & development support.

Partner Company

This company builds innovative consumer-facing AI products powered by self-hosted large language models. They operate a remote-first culture across Europe, emphasizing collaboration, continuous learning, and technical excellence.

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