Full Stack AI Engineer (Life Sciences)

What You’ll Do
Product Development: Responsible for developing and iterating intelligent products for the life sciences domain, including full-stack implementation. Workflow Optimization: Deeply understand business scenarios, optimize data processing and business logic workflows, and address the high accuracy and complexity requirements of the pharmaceutical vertical. Technology Exploration: Continuously track the latest developments in the LLM ecosystem, and quickly apply frontier models, open-source tools, and innovative ideas to daily development work and the product portfolio.

Qualifications
Education and Background: Bachelor's degree or above in Computer Science, Artificial Intelligence, Bioinformatics, or related fields. Exceptional technical enthusiasts from other backgrounds are also welcome. AI Native Mindset: Strong AI-native thinking; proficient in prompt engineering; familiar with mainstream large language model (LLM) API integration; heavy daily user of AI tools. Engineering Capability: Solid Python foundation; proficient in at least one modern frontend framework such as React or Vue; capable of independently delivering full-stack solutions covering frontend, backend, and large language model integration. Preferred Qualifications Academic background or project experience in biomedicine, pharmaceuticals, life sciences, or related fields.