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AI Principal Engineer (Remote)

Key Facts

Remote From: 
Full time
Expert & Leadership (>10 years)
English

Other Skills

  • β€’
    Communication
  • β€’
    Team Management
  • β€’
    Problem Solving

Roles & Responsibilities

  • 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.
  • Strong background leading distributed development teams.

Requirements:

  • 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.

Job description

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.
  • 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
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#LI-Remote

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