[Remote] Sr/Staff Application & AI Engineer (AI Center of Excellence)

Note: The job is a remote job and is open to candidates in USA. Raintree Systems is a leading provider of electronic health records and revenue cycle management software, dedicated to transforming healthcare technology. They are seeking a Sr/Staff Application & AI Engineer to architect, build, and scale their Scribe platform, focusing on integrating AI to enhance clinician efficiency and improve patient outcomes.

Responsibilities

• Perform a comprehensive review of the Scribe platform, mapping current data flows and identifying at least two high-impact opportunities for new AI agent or workflow integrations
• Architect, build, and deploy production-ready enhancements to the Scribe AI platform using modern TypeScript and Node.js
• Help establish and document the “gold standard” for AI engineering, including testing frameworks for LLM outputs, prompt versioning/management, and microservice CI/CD pipelines
• Transform complex AI concepts into seamless, intuitive features that reduce clinician burnout and evaluation times

Skills

• Mastery of TypeScript & Modern Web: Unrivaled proficiency in TypeScript, Node.js, and modern frontend frameworks (React, Vue, or Next.js). You write clean, scalable, and highly maintainable code
• AI & Agentic Engineering: Proven experience integrating LLMs, orchestrating autonomous AI agents, and building complex prompt workflows (e.g., using LangChain, LlamaIndex, or Semantic Kernel)
• Distributed Systems: Deep understanding of microservices architecture, API design (REST/GraphQL), and event-driven systems to support scalable AI workloads
• Bias for Action & Innovation: You thrive in ambiguity and are comfortable prototyping new ideas quickly in a rapidly evolving AI landscape
• Strategic Communication: The ability to translate complex AI architectural decisions to non-technical stakeholders and cross-functional teams
• Architectural Strategy: Perform a comprehensive review of the Scribe platform, mapping current data flows and identifying at least two high-impact opportunities for new AI agent or workflow integrations
• Production Delivery: Architect, build, and deploy production-ready enhancements to the Scribe AI platform using modern TypeScript and Node.js
• Engineering Excellence: Help establish and document the “gold standard” for AI engineering, including testing frameworks for LLM outputs, prompt versioning/management, and microservice CI/CD pipelines
• Innovation: Transform complex AI concepts into seamless, intuitive features that reduce clinician burnout and evaluation times (e.g., reducing evaluation completion from 17 minutes to under 90 seconds)
• Preferred: Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, or a related quantitative field (e.g., Mathematics or Physics)
• Alternative: Equivalent professional experience (8+ years in software engineering) with a proven track record of shipping complex, high-traffic applications
• ML Fluency: Strong working knowledge of foundational ML concepts, MLOps, and Python
• Data Expertise: Experience with vector databases (e.g., Pinecone, Weaviate) and building Retrieval-Augmented Generation (RAG) pipelines
• Healthcare Domain: Familiarity with clinical workflows, SOAP notes, or EMR integration

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