• Architect and build a scalable Agentic AI framework specifically for RCM workflows. • Design autonomous agents capable of handling complex revenue cycle tasks (denial management, contract analysis, eligibility verification). • Establish orchestration patterns for agent collaboration across different RCM business functions. • Implement robust guardrails and validation mechanisms for AI decision-making in financial contexts. • Build reusable components that accelerate agent development for new RCM use cases. • Create specialized tools for training and fine-tuning AI models on healthcare financial data. • Lead distributed engineering teams across onshore and offshore location.

• Lead the development of internal platforms and tools leveraging AI. • Integrate AI models (LLMs) into the software development lifecycle. • Build solutions that simplify developers’ daily work and improve Developer Experience (DX). • Serve as a technical authority on system architecture involving AI. • Work closely with multiple engineering teams to enable scale and promote collaboration.

• Help shape the virtual assembly line team - our intelligence workflow engine • End-to-end ownership of features and workflows • Collaborate with product managers, designers, and engineers • Own feature development from problem framing to production deployment • Build and integrate AI-powered product experiences • Contribute to architectural decisions and AI integration patterns • Keep feedback loops short: prototype, ship, observe, adjust • Push back when something doesn't make sense and propose better approaches

• Build AI-powered customer experiences • Design scalable backend systems • Contribute across the stack • Engineer data pipelines at scale • Improve reliability and performance • Collaborate deeply • Deliver insights that move millions