Develop and expand AI for chemical risk management for global manufacturers, involving planning, design, development, and operation.
About this role
Chemican builds an AI that manages safety data sheets (SDS) for manufacturers handling chemicals, and it hires an AI Engineer to lead development and improvement of its AI features with the CTO. The company especially wants someone who has used AI to scan and structure PDF documents such as invoices or contracts, in any industry.
The work has three parts. First, extracting and structuring information from SDS files: accurate character recognition and layout analysis, especially in English, Japanese, Chinese and Spanish, handling tables and multi-column layouts, and normalising to each country's SDS formats and regulations. Second, building an AI agent for the chemical industry that integrates SDS files, chemical databases, legal databases and protective-clothing catalogues, using tools such as LangChain and expert review. Third, building a system that quantifies the confidence of AI inferences to flag reliable results and improve review efficiency and model accuracy.
Applicants need practical Python development, machine learning and deep learning knowledge, natural language processing project experience and teamwork. LLM systems, OCR and document understanding, cloud AI systems and research papers are preferred. The role is remote-friendly.
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