AI Principal Engineer (Remote)

Conexess Group is aiding a large healthcare client in their search for an AI Principal Engineer in a remote capacity. This is a direct hire opportunity with a competitive compensation package.

The Principal Engineer will be spearheading the development of a cutting-edge Agentic AI platform that leverages our healthcare RCM data lakehouse to revolutionize revenue cycle workflows through autonomous, intelligent agents.

Key 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.

Requirements and Qualifications

• Proven track record building production AI systems handling financial transactions.
• Financial or healthcare background required- needs to have highly regulated industry experience
• Strong Python required
• Anthropic APIs preferred
• MLflow or LangSmith required
• Context management experience
• Strong API Development experience
• 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 Company'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