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AI Engineer

Full Stack AI Engineer (Life Sciences)

HybridMidAI Engineerposted 2mo ago
✦Role summaryAI-generated

Mid-level AI engineer role focused on building and optimizing intelligent life sciences products with full-stack implementation, requiring expertise in LLMs, prompt engineering, and pharmaceutical domain-specific workflows.

Skills required

About this role

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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