Engineering Team Lead – AI Applications (Life Sciences)

Asks for

• agent planningThe ad says“Technical Problem-Solving: Lead the team in addressing critical challenges such as LLM hallucinations, complex biomedical reasoning, and high-precision information extraction. Develop agent planning, tool-use, and reflection mechanisms to improve the accuracy, reliability, and domain relevance of AI-generated outputs.”
• agentic workflowsThe ad says“Technical Architecture: Own the overall technical architecture of AI applications for the life sciences domain. Lead the design and implementation of complex agentic workflows, multi-agent collaboration mechanisms, and solutions involving LLM fine-tuning or private deployment.”
• agile software engineeringThe ad says“Proven experience leading an agile software engineering team.”
• AI application architectureThe ad says“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.”
• AutoGenThe ad says“Hands-on experience with agent frameworks such as LangChain, AutoGen, or CrewAI, as well as common agent orchestration patterns.”
• backend architectureThe ad says“Strong knowledge of modern frontend and backend architectures, as well as cloud-native deployment.”
• cloud-native deploymentThe ad says“Strong knowledge of modern frontend and backend architectures, as well as cloud-native deployment.”
• CrewAIThe ad says“Hands-on experience with agent frameworks such as LangChain, AutoGen, or CrewAI, as well as common agent orchestration patterns.”
• frontend architectureThe ad says“Strong knowledge of modern frontend and backend architectures, as well as cloud-native deployment.”
• LangChainThe ad says“Hands-on experience with agent frameworks such as LangChain, AutoGen, or CrewAI, as well as common agent orchestration patterns.”
• large language modelsThe ad says“Strong understanding of the capabilities, limitations, and underlying principles of large language models.”
• LLM fine-tuningThe ad says“Technical Architecture: Own the overall technical architecture of AI applications for the life sciences domain. Lead the design and implementation of complex agentic workflows, multi-agent collaboration mechanisms, and solutions involving LLM fine-tuning or private deployment.”
• prompt optimizationThe ad says“Hands-on Contribution: Remain actively involved in technical design, architecture and code reviews, prompt optimization, and the resolution of complex engineering challenges.”
• PythonThe ad says“Proficiency in Python and at least one statically typed programming language.”
• reflection mechanismsThe ad says“Technical Problem-Solving: Lead the team in addressing critical challenges such as LLM hallucinations, complex biomedical reasoning, and high-precision information extraction. Develop agent planning, tool-use, and reflection mechanisms to improve the accuracy, reliability, and domain relevance of AI-generated outputs.”
• software engineeringThe ad says“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.”
• statically typed programming languageThe ad says“Proficiency in Python and at least one statically typed programming language.”
• tool-useThe ad says“Technical Problem-Solving: Lead the team in addressing critical challenges such as LLM hallucinations, complex biomedical reasoning, and high-precision information extraction. Develop agent planning, tool-use, and reflection mechanisms to improve the accuracy, reliability, and domain relevance of AI-generated outputs.”