Full Stack AI Engineer (Life Sciences)

HybridMidAI Engineerposted 1mo 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

Python Llm prompt engineering Bioinformatics Full stack development Data pipelines Pharmaceutical data processing Workflow optimization Open source ai tools LLMs Api integration AI Prompt engineering React

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.