About The Position

As a Sr/Staff Application & AI Engineer in our AI Center of Excellence, you will be a foundational member of the team responsible for architecting, building, and scaling our Scribe platform (ScribeIQ™). You will bridge the gap between core software engineering, generative AI, and complex healthcare data structures. This is a high-impact role where you will lead the technical implementation of LLMs, autonomous agents, and AI-driven user experiences. Using your expertise in TypeScript, microservices, and modern frontend frameworks, you will help set the "gold standard" for how Raintree deploys scalable AI applications across the entire organization.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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).
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