Applied AI Engineer
Core
Build, deploy, and support production-grade generative AI pipelines and agentic systems to optimize clinical trial design and execution.
Role type
Applied AI Engineer (Generative AI & Agentic Systems)
Builds
Production-grade AI services, APIs, and model orchestration frameworks for clinical development
Domain
Healthcare / Biotech / Clinical Development
Deliverable
production ML models
Required skills
Python, NLP, LLMs, agentic workflows, embedding-based representations, similarity search, retrieval workflows, unstructured data processing, evaluation frameworks
Preferred skills
Healthcare/biotech industry experience, clinical data experience, large-scale data processing
Technologies
Python, LLMs, embedding models, retrieval systems
Responsibilities
Build scalable generative AI pipelines integrating unstructured and structured data; Develop robust agentic systems for complex clinical problems; Create evaluation frameworks for AI in clinical contexts; Optimize representation and retrieval strategies for explainable outputs; Contribute to architectural decisions for AI services and model orchestration; Document and present methodologies and results to stakeholders.
