Full Stack AI Engineer (Life Sciences)

United States Digital Space LLC; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

United States Digital Space LLC in Singapore is seeking talent to design and iterate intelligent life sciences products, delivering full-stack solutions that combine frontend, backend, and LLM integration.

You will explore AI frontier models, optimize data processing workflows, and apply cutting-edge tools to meet the high accuracy demands of the pharmaceutical domain.

Qualifications

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Bioinformatics, or related fields.
• Exceptional technical enthusiasts from other backgrounds are welcome.

Responsibilities

• Develop and iterate intelligent products for life sciences, including full-stack implementation.
• Understand business scenarios, optimize data processing and workflows for high accuracy in pharmaceutical domain.
• Track and apply frontier models and open-source tools to daily development and product portfolio.

Skills

AI-native mindset

Prompt engineering

LLM API integration

Full-stack delivery

Education

Bachelor's degree in Computer Science

Bachelor's degree in Artificial Intelligence

Bachelor's degree in Bioinformatics

Tools

Python

React

Vue

LLM integration

Job description

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.