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Role Snapshot
Design and deploy scalable AI systems using large language models within the healthcare sector to improve clinical and financial outcomes. This hands-on engineering role focuses on building robust, production-grade generative AI infrastructure.
Key Responsibilities: Architect, build, and deploy generative AI systems using LLMs with MCP and A2A protocols; develop modular, reusable infrastructure components that support LLM integration; design testing and validation frameworks; collaborate cross-functionally to integrate AI capabilities across the product ecosystem.
Skills & Tools: Proficiency in AI/ML engineering with hands-on experience in LLMs, model orchestration, and validation frameworks; strong Python coding skills; experience with cloud platforms and containerization technologies; deep understanding of production-grade AI infrastructure.
Qualifications: Bachelor's degree in Data Science, Computer Science, or related field; 5+ years of relevant AI/ML experience, particularly with LLM-based systems and production deployments.
Location: Morrisville, North Carolina
Compensation: $130K–$180K/yr