Principal AI Engineer
Core
Design, implement, and support AI-powered and agentic capabilities embedded in the elluminate Clinical Data Cloud platform to facilitate clinical trial work for life sciences clients.
Role type
Principal AI Engineer (Generative AI & Agentic Systems)
Builds
Production-grade LLM applications, agentic workflows, RAG-based solutions, and predictive models for healthcare data.
Domain
Life Sciences / Clinical Trials / Generative AI
Deliverable
production ML models | product features
Required skills
Python, Large Language Models (LLMs), Agentic frameworks, Deep Learning, Machine Learning, RAG, Prompt Engineering, System Integration, Cloud Platforms (AWS/Azure/GCP), Healthcare Data, API Development
Preferred skills
Master's or Doctorate degree, Experience with transformers/fine-tuning/evaluation, Clinical domain expertise, MLOps/AIOps knowledge
Technologies
LangChain, LangGraph, LlamaIndex, PyTorch, Hugging Face Transformers, scikit-learn
Responsibilities
Design and prototype multi-agent workflows and document intelligence pipelines; Build and maintain LLM/ML pipelines including orchestration and evaluation harnesses; Integrate AI capabilities into the elluminate software platform; Deploy systems in production and track performance/cost/quality; Serve as Subject Matter Expert on Generative AI and applied ML; Educate team members on modern AI techniques.
Seniority
Principal, hands-on IC with strategy & mentorship
