3 дня назад
Engineering Team Lead – AI Applications (Life Sciences)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Engineering Team Lead – AI Applications (Life Sciences) (AI/LLM): Designing and delivering AI-native applications and agent-based workflows for digital life sciences processes with an accent on multi-agent collaboration, biomedical reasoning, and high-precision information extraction. Focus on leading architecture and code reviews, solving LLM hallucination and reliability challenges, and building production-grade full-stack systems with prompt optimization and cloud-native deployment.
Location: Suzhou, China; on-site
Company
develops AI-native applications that transform digital workflows in the life sciences industry.
What you will do
- Own the technical architecture of AI applications for the life sciences domain.
- Design and implement agentic workflows, multi-agent collaboration mechanisms, and LLM fine-tuning or private-deployment solutions.
- Lead efforts to address LLM hallucinations, biomedical reasoning, and high-precision information extraction.
- Develop agent planning, tool-use, and reflection mechanisms to improve output accuracy and reliability.
- Lead, mentor, and develop an AI full-stack engineering team while improving development workflows and delivery efficiency.
- Collaborate with life sciences experts and product managers to translate medical and pharmaceutical requirements into AI solutions.
Requirements
- At least 5 years of software or full-stack development experience, including 2 or more years delivering AI or LLM-powered applications.
- Experience leading an agile software engineering team.
- Strong understanding of LLM capabilities, limitations, and underlying principles.
- Hands-on experience with LangChain, AutoGen, CrewAI, or similar agent frameworks and orchestration patterns.
- Proficiency in Python and at least one statically typed programming language, with knowledge of modern frontend, backend, and cloud-native architectures.
- Professional working proficiency in English is required, including strong written, verbal, and cross-cultural communication skills.
Culture & Benefits
- Full-time employment.
- Hands-on work with architecture reviews, code reviews, prompt optimization, and complex engineering problem-solving.
- AI-assisted coding tools are used to support modern engineering workflows.
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