Lead the development and improvement of AI functions, focusing on extracting and structuring information from PDF documents.
About this role
Chemican, a seed-stage startup, builds an AI that manages safety data sheets (SDS) to help manufacturers assess and manage chemical risk, and it hires a Backend Engineer to develop and extend that product. Large companies already use it, and demand is rising with stricter chemical-safety regulation in Japan.
Working with the CTO, the engineer develops functions to screen chemical-substance regulations and to assess chemical risk, uses machine learning and generative AI to extract and analyse hazardous-substance data from SDS documents, and builds features for overseas customers. Depending on interest the work can extend to infrastructure and R&D. The stack is Go and Python on the backend, Next.js, React, TypeScript and Vue.js on the frontend, GCP, and PostgreSQL and BigQuery. The job is basically fully remote.
Applicants need five or more years of web application development on their own company's product, knowledge of secure programming and team development with Git. Microservices, GCP, B2B AI development, and team lead experience are preferred.
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