About RAAPID :

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 (CareFirst) - 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.

Applied AI Engineer

Position Overview :

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.

Key Responsibilities :

- End-to-End Lifecycle Ownership : Build, deploy, maintain, and improve autonomous AI agents, custom API tools, and RAG pipelines.

- Technical Implementation : Manage data integration, indexing, and hybrid search using vector databases and knowledge graphs.

- AI Reasoning & Guardrails : Define evaluation frameworks (Evals), implement security guardrails, and optimize token/latency costs.

- Cross-Functional Collaboration : Partner with CoE Translators and business units to convert workflows into production-grade agentic systems.

Required Qualifications :

- Technical Degree : Bachelors or Masters degree in Computer Science, Software Engineering, or related field.

- Provable Portfolio : Strong GitHub profile with 3- 5 repositories demonstrating LLM/AI API integration.

- Experience : 2+ years of professional software engineering experience, with hands-on experience in AI/LLM systems.

Technical Skills :

- Languages : Python (highly preferred), SQL, Node.js / TypeScript.

- AI Frameworks : LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph, Semantic Kernel.

- Databases : PostgreSQL, MongoDB, Pinecone, Qdrant, Neo4j.

- Tools : Git, Docker, FastAPI, LangSmith, Ragas.

- Cloud : Azure (preferred), AWS, or GCP.

What We Offer :

- Competitive compensation package commensurate with level and experience.

- Opportunity to be a founding member of a high-impact Agentic AI Center of Excellence.

- Access to modern computational resources and Microsoft / M12 ecosystem benefits.

- A clear Individual Contributor growth path.

We are committed to creating a diverse and inclusive workplace and encourage applications from candidates of all backgrounds.