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AI Training and Prompt Engineering Specialist

Mid-levelremoteRemote: Poland; UTC+1, PLСкор 63/1003д назад
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embeddingsfine-tuninggitlangchainlanggraphpython
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ABOUT THE ROLE House of YO is a connectivity and distribution business with compute layered on top. YOlanda is our AI concierge. On V3 of the YO platform, YOlanda is the interface. Users talk to her instead of tapping through menus. She answers questions about plans, data, top-ups and YOYO$ balances, and she takes the action on the user’s account. When she is wrong, the user is stuck and the product has failed. Her knowledge is the YO ecosystem and nothing else. When a question falls outside it she hands off to YOnC, our compute cooperative, which routes it to a specialist model. Knowing where that line sits, and holding it, is central to the job. She works to one golden rule: within five responses she has put a product or service in front of the user. Not five responses to be helpful. Five to arrive somewhere real. This role makes her right. You write the prompts that govern how she thinks. You build the evaluations that prove she works. You write the training data that fixes her when she does not. You ship the code that runs all of it. YOlanda runs on our own LangChain and LangGraph build. You will open pull requests against that graph alongside the two engineers who own it. You will not manage anyone. You will be in the model every day. Who this is for You break things on purpose and then explain exactly why they broke. You can read a bad answer and say in one sentence what is wrong with it. You would rather run fifty tests than win one argument about which promp
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