About the job
Core
Build an enterprise-scale Agentic AI platform for AI-native drug discovery and translational research, orchestrating scientific workflows from data ingestion to regulatory documentation.
Role type
Senior hands-on AI Engineer (Agentic AI & Drug Discovery)
Builds
Multi-agent AI systems, workflow orchestration, production AI services, and APIs connecting agents with internal platforms.
Domain
Biomedical AI / Life Sciences / Drug Discovery
Deliverable
production ML models
Required skills
Python, LLM integration, multi-agent system design, workflow orchestration, backend API development, cloud-native application development, software engineering.
Preferred skills
Kubernetes, Docker, distributed systems, scientific software integration, biomedical AI experience.
Technologies
LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, LLMs, foundation models.
Responsibilities
Design and develop multi-agent AI systems for scientific workflows; Build workflow orchestration, agent coordination, memory, and tool integration capabilities; Develop AI agents supporting candidate prioritization, PBPK/QSP modeling, clinical strategy, and regulatory documentation; Integrate LLMs, foundation models, and scientific software into production AI workflows; Develop APIs and backend services connecting AI agents with internal platforms; Improve system scalability, robustness, and performance.
Seniority
Senior, hands-on IC
