Full Stack AI Engineer (Life Sciences)

On-site

Posted 4 months ago

Product & Engineering Department

Responsibilities

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.

Requirements

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.

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About the job

Posted on: Jul 16, 2026
Job type: Full-time
Location: SingaporeOn-site

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Full Stack AI Engineer (Life Sciences)

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Preferred Qualifications

Ready to Apply?

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