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EnableComp - Principal Engineer

Franklin, TN2d ago

In Office Principal NA Artificial Intelligence Principal Engineer Full Stack

Requirements

• Proven track record building production AI systems handling financial transactions. • Deep expertise in LLM orchestration frameworks and agent architectures. • Experience applying AI to structured financial workflows with explicit business rules. • History of scaling complex software platforms across multiple business lines. • Strong background leading distributed development teams. • Success implementing systems that integrate with healthcare financial platform. • Advanced knowledge of LLM orchestration and RAG implementations. • Experience with agent frameworks (AutoGPT, LangChain, etc.) • Expertise in prompt engineering for specialized domains. • Strong software architecture skills focused on scalability and modularity. • Ability to build systems that maintain context across multi-step workflows. • Understanding of healthcare data security requirements. • Special Considerations and Prerequisites • 7-10 years’ experience full stack development and 2 years’ experience developing Agentic AI. • Practices and adheres to EnableComp’s Core Values, Vision and Mission. • Exceptional technical leadership driving innovation in emerging technologies • Ability to translate abstract AI capabilities into concrete RCM solutions • Experience managing mixed onshore/offshore development teams • Track record of delivering complex platforms that scale across business units • Skill in communicating technical concepts to non-technical stakeholders

Responsibilities

• 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.