Parametric CAD/drafting portal with an AI assistant
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About this role
Python, Website Design, Graphic Design, UML Design, HTML, REST API, Natural Language Processing, Large Language Model · Reference site: https://www.rayon.design
The goal is to build an AI-driven drafting engine that turns raw data and short prompts into well-structured, publication-ready technical reports automatically. At its core, the system must recognise the user’s inputs, pull from internal style guidelines, and generate coherent sections—introduction, methodology, results, conclusions—without manual intervention.
Key functions I expect from the first release: • Natural-language generation that adheres to engineering and scientific writing standards. • Template management so different report layouts can be swapped or updated on the fly. • A feedback loop that lets users accept, reject or edit each paragraph and feeds those edits back into the model to improve future drafts. • RESTful endpoints so the drafting logic can be embedded into an existing web portal; front-end work is minimal, but clean JSON in/out documentation is essential.
You are free to leverage large-language-model APIs (e.g. GPT-4, Claude-3) or an open-source LLM fine-tuned with domain data, as long as you clearly state the stack. Python is preferred for orchestration, but I’m open to alternatives if there’s a com