Full Stack AI Engineer (Life Sciences)

What Youll 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: Bachelors 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.

Required Experience:

IC

Employment Type : Full-Time
Experience: years
Vacancy: 1