Sr AI/ML Engineer, Applied AI
Core
Design, develop, evaluate, and deploy advanced AI/ML solutions, LLM applications, and agentic workflows for internal and external customer-facing applications in life sciences and healthcare.
Role type
Senior hands-on IC AI/ML Engineer
Builds
Production-grade AI/ML models, LLM-powered services, RAG solutions, and agentic workflows
Domain
Life sciences, genomics, material sciences, healthcare
Deliverable
production ML models
Required skills
Python, PyTorch, C++, C#, LangChain, LangGraph, RAG, agentic AI, vector search, prompt engineering, data engineering, MLOps/LLMOps
Preferred skills
Life sciences/genomics domain expertise, cloud platforms (Azure/AWS/GCP)
Technologies
Azure OpenAI, Anthropic Claude, OpenAI APIs, LangChain, LangGraph, Pandas, NumPy
Responsibilities
Lead AI/ML lifecycle from ideation to deployment; develop and scale models across life sciences; implement evaluation frameworks; build LLM-powered services and agentic workflows; mentor engineers; integrate AI into enterprise platforms
Seniority
Senior, hands-on IC with technical leadership
