Summary
What you’ll impact
Our company is seeking a founding engineer in San Francisco to build its core AI-native platform for healthcare spend optimization. The role involves developing machine learning, optimization, data infrastructure, and LLM-based systems while working closely with founders and customers.
Responsibilities
What you'll do
- Build ML systems for healthcare risk modeling, utilization forecasting, and cost prediction
- Develop optimization and simulation tools for scenario modeling, counterfactual analysis, and vendor strategy
- Build production LLM systems using RAG and agents across structured and unstructured data
- Design reliable data pipelines for large, messy healthcare datasets
- Create evaluation systems to measure and improve model performance
- Own projects from the initial idea through production
- Work directly with customers to understand their needs and improve the product
- Help shape our technical standards and engineering culture
Requirements
What you’ll bring
- Strong software engineering and systems design fundamentals
- Experience building and maintaining production systems
- Experience with backend infrastructure, data engineering, or applied ML
- An ability to think in terms of models, distributions, uncertainty, and optimization
- Interest in LLMs, AI agents, forecasting, and healthcare finance
- Strong product judgment and comfort working through ambiguity
- A collaborative, thoughtful approach and a high level of ownership