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Mid/Senior AI LLM Engineer
Capon Bridge +41 · RemoteSenior (5–10 years)Full-timePosted 20 days ago
About the job
What you'll do
The role involves fine-tuning and improving self-hosted large language models to enhance conversational quality and personality consistency. You will manage the full lifecycle of model development, from training and debugging on GPUs to production deployment and performance evaluation.
What they're looking for
Candidates must have proven hands-on experience in fine-tuning open-weight LLMs and deploying them into production environments. Strong proficiency in Python, PyTorch, and familiarity with preference optimization techniques like DPO or GRPO are essential.
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