Staff AI/ML Engineer, Applied AI
Core
Design, develop, evaluate, and deploy advanced AI/ML solutions, LLM applications, RAG systems, and agentic workflows to enhance scientific workflows and customer experiences in life sciences and healthcare.
Role type
Staff AI/ML Engineer (Applied AI)
Builds
Production-grade AI/ML models, LLM-powered services, agentic AI workflows, and RAG solutions for scientific and enterprise platforms.
Domain
Life sciences, genomics, material sciences, healthcare, and Generative AI.
Deliverable
production ML models | product features
Required skills
Python, PyTorch, C++, C#, data engineering (ETL, Pandas, NumPy), deep learning, RAG implementation, agentic AI orchestration, LangChain, LangGraph, model evaluation frameworks, technical leadership, mentorship.
Preferred skills
MLOps/LLMOps, cloud platforms (Azure, AWS, GCP), computational biology, regulatory domain experience.
Technologies
Azure OpenAI, Anthropic Claude, OpenAI APIs, LangChain, LangGraph, Pandas, NumPy, PyTorch, C++, C#.
Responsibilities
Lead the full AI/ML lifecycle from ideation to deployment; architect scalable AI systems and define engineering standards; build and deploy LLM and RAG solutions; mentor engineers and influence platform strategy; integrate AI capabilities into enterprise scientific applications.
Seniority
Staff, hands-on IC with significant technical leadership and mentorship responsibilities.
