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

Sr/Staff Application & AI Engineer (AI Center of Excellence) Location: Remote (U.S. Based) This position may be performed from one of the following U.S. states: AL, AZ, FL, GA, IN, KS, MA, MI, MS, NC, NV, OR, PA, SC, TN, TX, VA. Department: Engineering – AI Center of Excellence Reports to: Director of AI Engineering About Raintree Systems At Raintree, our mission is to help therapy professionals provide better care and achieve superior outcomes for everyone. As the leading clinical and business platform for physical, occupational, and speech therapy, we manage over 50 million patient visits annually. With our new AI Center of Excellence (CoE), we are going "all-in" on artificial intelligence to transform the EMR from a documentation burden into an "invisible" partner that empowers clinicians. The Mission 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. Key Outcomes • 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). What You Bring (Competencies) • 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. Bonus Points • 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. Educational Background • 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. Technical Skills Matrix Category Core Requirements Backend & Runtime Node.js, Express/Fastify, Python (FastAPI/Flask), Go (optional). Frontend React.js, Next.js, Tailwind CSS, State Management (Redux/Zustand), WebSockets for real-time AI streaming. AI/ML Orchestration LangChain, LlamaIndex, AutoGPT, OpenAI SDKs, Anthropic API, Hugging Face Transformers. Database & Search PostgreSQL, Redis, Vector Databases (Pinecone, Milvus, Weaviate, or pgvector), Elasticsearch. Cloud & DevOps AWS (Lambda, ECS/EKS, S3, Bedrock), Docker, Kubernetes, Terraform/IaC, GitHub Actions (CI/CD). Data Engineering Kafka/RabbitMQ (Event-driven architecture), ETL pipelines, SQL optimization, JSON Schema validation. Testing & Quality Jest/Cypress, Promptfoo (for LLM evaluation), LangSmith or Arize Phoenix (for AI observability). Why Join Raintree’s AI CoE? • Ground Floor Opportunity: You aren't just maintaining legacy code; you are writing the playbook for how Raintree leverages AI for our next generation of products. • Immediate Impact: Working on the Scribe platform means your code will have a visible, daily impact on thousands of providers and millions of patients. • Massive Runway: A