Full Stack AI Engineer (Life Sciences)
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Summary
Full Stack AI Engineer at PatSnap building intelligent products for life sciences/pharma using LLM integration, Python backend, and React/Vue frontend in Singapore.
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.
Skills
As published by lever · 4 questions · 2 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Other website
Pick from a list (2)
- Which of the following best describes about your status? optional
- Which of the following best describes about you ability to communicate in Mandarin optional
Written answers (2)
- When are you available to start?
- What are your salary expectations (base and total earnings)?
