Gracey ยท 3 weeks ago
Founding Principal Engineer - Clinical AI & Data
United States
Full-time
Remote
Senior Level
5+ years expGracey is the AI engine powering family-centered care, building a system to support families and care coordinators. The Founding Principal Engineer will be responsible for developing the intelligence of the platform, focusing on core coding and architecture to bridge clinical data and family sentiment with financial outcomes.
Hospital & Health Care
Responsibilities
Build the IP: You write the core "Reasoning Engine" code (Python/AI) in-house
Govern the Commodity: You manage external partners (Dev Shops) for the frontend/app layer to move fast, ensuring their code meets your rigorous standards
Own the Future: Over time, you will help us transition from "Outsourced" to "In-House" as we scale
Build the "Suspect Logic" Engine (Revenue Intelligence)
Build the NLP pipeline that maps unstructured family text ("Mom's foot is numb") to clinical concepts (SNOMED) and billing opportunities (HCC Codes)
Goal: Surface "Uncaptured Risk" to our clinicians to verify and code
Architect the ingestion of AthenaHealth Data View (Snowflake) and Metriport (HIE) data into a unified patient graph
Goal: Create a single source of truth that updates daily and powers our predictive models
Implement temporal sentiment analysis on chat logs to detect caregiver burnout before it triggers a nursing home admission
Goal: Flag "At-Risk" families for intervention 2 weeks before a crisis
Technical Evangelism: You will be the technical face of Gracey to investors and partners. You can articulate our "AI Moat" and explain why our architecture is defensible and scalable
Talent Magnet: You have a strong network and reputation. When we are ready to scale the internal team, you will be the primary draw for top-tier engineering talent
AI Strategy: You don't just implement; you define the art of the possible. You stay ahead of the curve on LLM advancements (Agents, Multi-modal models) and know when to apply them to solve clinical problems practically
Qualification
Required
Production Engineering: 5+ years shipping complex backend systems in Python. You know how to build scalable pipelines, not just Jupyter notebooks
Data Architecture: 3+ years working with SQL Data Warehouses (Snowflake, BigQuery) and ETL tools (Airflow, dbt)
AI/LLM Pragmatism: Proven experience building RAG (Retrieval-Augmented Generation) systems in production. You know how to handle context windows and hallucination risks
Preferred
Healthcare Standards: FHIR R4, HL7 v2, C-CDA
EHR Integration: Experience with AthenaHealth APIs or Data View
Value-Based Care: Understanding the CMS-HCC risk adjustment model
Benefits
Significant Early Equity
A compensation package that reflects your impact on our valuation.
Company
Gracey
Gracey pairs human care and AI to help families with the complexity of caregiving for an aging loved one, while allowing seniors to gracefully age at home.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase