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Responsibilities
● Work closely within the multidisciplinary AIDD team, along with experts in bioinformatics, cheminformatics, digital automation, and infrastructure.
● Design, develop, and maintain agentic workflows and multi-agent platforms to automate and enhance scientific research tasks.
● Leverage and evaluate the advanced LLM's capabilities over complex scientific data, protocols, and literature.
● Integrate various internal and external data sources, APIs, and computational tools into the agent platform through MCP and RAG systems.
● Communicate with drug discovery scientists (end-users) to iteratively improve the functionality, performance, and user experience of the developed agents and platforms.
Requirements
● Bachelor’s or Master’s degree in a relevant technical field (e.g., Computer Science, Bioinformatics, Cheminformatics); prior work experience is highly preferred.
● Demonstrated strong interest and hands-on proficiency in developing AI agents, LLM applications, or multi-agent systems.
● Experience with relevant libraries and frameworks (e.g., LangChain, LangGraph, Dify).
● Experience with prompt and context engineering.
● Foundational knowledge of biological or chemical concepts or experience in applying agentic systems for biomedical or drug discovery.
● Knowledge of data infrastructure is a plus.
● A user-centric mindset with business sense to understand and address core research needs.
● Team player with excellent communication skills, capable of working effectively within a cross-functional technical team and engaging with scientific stakeholders.