Agentic AI in Center of Excellence

RAAPID is a leading healthcare technology innovator specializing in AI-enabled risk adjustment solutions. Funded by Microsoft and Great Place to Work-certified organization, we serve payers, healthcare providers, and support organizations with cutting-edge technology solutions that optimize revenue, ensure compliance, and reduce administrative costs.

Why RAAPID?

• Backed by an unprecedented Industry Trifecta: M12 (Microsoft's Venture Fund), UPMC Enterprises, and Healthworx (Care First) - RAAPID is the only risk adjustment platform validated by a global technology giant, a world-class health system, and a top-tier payer investor simultaneously.
• Industry Pioneer: Leveraging state-of-the-art artificial intelligence, machine learning, vision AI, and knowledge graphs to transform healthcare operations.
• Strong Foundation: Built on four key pillars
  - Trust, Technical Competence, Stability, and Technical Innovation
• Recognition: Proud recipient of HITRUST certification, demonstrating our commitment to security and compliance
• Culture: Certified Great Place to Work, reflecting our dedication to employee satisfaction and professional growth
• Mission-Driven: Focused on revolutionizing value-based healthcare through customizable, AI-powered solutions
• Global Presence: Headquartered in Louisville, Kentucky, with a robust team of over 100 employees across the US and India

Position Overview
- Applied AI Engineer We are establishing an Agentic AI Center of Excellence (CoE) to design, build, and deploy the next generation of autonomous digital workers across RAAPID. We are seeking pragmatic, high-velocity Applied AI Engineers, Senior Applied AI Engineers, and Principal Applied AI Engineers to join this specialized team as core “Builders.” This is a pure Individual Contributor (IC) track designed for engineers who love being hands-on with code and shipping production AI systems.

As a Builder, you will not just write code in a sandbox - you will own the entire lifecycle of your creations. You will be responsible for building AI agents, deploying them to production, maintaining their operational health, and continuously improving their accuracy, cost-efficiency, and user experience based on real-world usage and structured evaluation. You will work closely with CoE Champions (functional sponsors across Sales, Marketing, Product, Operations, HR, Legal, and Finance) and Translators (understanding of product + building) to convert business workflows into production-grade agentic systems that move the needle on revenue, efficiency, and quality of care.

• End-to-End Lifecycle Ownership (Build, Deploy, Maintain & Improve)

Build: Design and code autonomous AI agents, custom API tools, and Retrieval-Augmented Generation (RAG) pipelines using modern orchestration frameworks (Lang Graph, CrewAI, Auto Gen, etc).

Deploy: Set up robust deployment pipelines to move AI agents from local MVPs to production-grade environments using Docker, APIs, microservices, and cloud infrastructure.

Maintain: Take full responsibility for the operational health of your deployed agents - monitor uptime, handle error states, manage token/cost limits, and ensure day-to-day reliability.

Improve: Establish systematic evaluation loops (Evals) to measure agent accuracy. Continuously refine prompt structures, system guidelines, guardrails, and memory retrieval mechanisms to improve agent performance over time.

• Technical Implementation & Data Foundation

Agentic Frameworks: Build and manage autonomous AI agents for tasks such as lead prospecting, market segmentation, content generation, claims/coding workflows, operations management, and data synthesis.

Data Integration: Implement and optimize indexing, hybrid search, and RAG pipelines using vector databases (Pinecone,…