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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.
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    What this application asks

    lever

    Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Other website

    • When are you available to start? written answer
    • Which of the following best describes about your status? choose one · optional
    • Which of the following best describes about you ability to communicate in Mandarin choose one · optional
    • What are your salary expectations (base and total earnings)? written answer

    See also

    Python jobs 134,221 jobs React jobs 40,504 jobs Vue jobs 8,196 jobs Full-Stack jobs 31,683 jobs Unicorns jobs 18,949 jobs Remote Worldwide jobs 14,080 jobs JavaScript jobs 32,504 jobs TypeScript jobs 47,480 jobs Go jobs 6,225 jobs Senior-Level jobs 222,833 jobs