Назад
Company hidden
3 дня назад

Engineering Team Lead – AI Applications (Life Sciences)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

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: Su​​zhou, China; on-site

Company

hirify.global 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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →