Engineering Team Lead – AI Applications (Life Sciences)
PatSnapIP & company
SuzhouLead
SoftBank Vision Fund 2
Summit Partners
Tencent Investment
Sequoia China
Vertex Ventures
Shunwei Capital
Data & AI
About the role
TL;DR
Lead AI application development for life sciences, focusing on AI-native solutions and agentic workflows.
- •We are looking for a hands-on engineering leader who combines AI application architecture expertise with strong software engineering capabilities.
- •You will work closely with the team on architecture reviews, code reviews, and prompt optimization, while leading the development of AI-native applications that transform digital workflows in the life sciences industry.
- •Key Responsibilities Own the overall technical architecture of AI applications for the life sciences domain, including complex agentic workflows and LLM fine-tuning.
- •Lead the team in addressing critical AI challenges like hallucinations and complex biomedical reasoning.
- •Lead, mentor, and develop an AI full-stack engineering team, establishing modern development workflows.
- •Translate complex medical and pharmaceutical requirements into practical AI solutions.
- •Requirements 5+ years of software/full-stack development experience, with 2+ years in AI/LLM applications.
- •Proven experience leading an agile software engineering team.
- •Strong understanding of LLMs, agent frameworks (LangChain, AutoGen, CrewAI), and orchestration patterns.
- •Proficiency in Python and a statically typed language, with experience in modern frontend/backend architectures and cloud-native deployment.
Required skills
PythonLangChainLLMsEngineering Management
Nice-to-have skills
OpenAI API
Domain expertise
biotechhealthcaredeeptech
Tech stack
PythonLangChainOpenAI APILLMs