Backend Engineer (AI Healthcare Platform)
Location:New York City Employment: Full-Time Dept.: Engineering
Compensation: Competitive base significant equity (seed-stage)
Overview
Seeking a skilled Backend Engineer to build and scale the infrastructure behind an AI healthcare platform serving millions of patients. This role sits at the intersection of high-scale backend engineering and AI systemsowning secure APIs distributed services and data pipelines that power 14M patient interactions with uncompromising reliability and healthcare compliance.
What Youll Build
Healthcare API Infrastructure
High-throughput Python/FastAPI services on AWS to handle millions of daily requests
RESTful APIs for a growing suite of AI healthcare tools and internal coordination systems
Real-time processing of sensitive PHI with HIPAA-compliant controls
Internal API architecture supporting web clients and AI orchestration
Integration & Data Systems
Secure health record exchange with EHRs QHINs and major healthcare networks
Third-party integrations (telehealth analytics healthcare APIs)
Large-scale encrypted data pipelines with compliance guardrails
Partner API integrations across diverse well-documented healthcare systems
Scale & Reliability Architecture
Database design and optimization (complex query patterns on high-volume healthcare data)
Redis for secure caching/session management in regulated environments
Robust error handling automated failover and disaster recovery
Performance tuning and horizontal scaling for rapid user growth
AI System Integration
Backend coordination that guides AI tools and clinical decision workflows
Deterministic Python systems running alongside AI agents for clinical accuracy
APIs for model inference preprocessing and result handling
Infrastructure for AI safety (validation layers human-in-the-loop escalation)
Youll also contribute to compliance automation advanced monitoring/observability multi-region deployments and the backend foundation for next-gen AI healthcare features.
Required Qualifications
Education & Background
CS degree or exceptional equivalent experience (Engineering/Math welcome)
Startup DNA: founder/founding engineer or deep early-stage experience preferred
Proven independence solving complex problems and strong cross-functional collaboration
Technical Expertise
5 years backend engineering with Python and API development
Strong with FastAPI/Flask (or similar) and cloud services (AWS/GCP/Azure)
Built/scaled RESTful APIs for high-volume traffic
Proficient with relational DBs (PostgreSQL/MySQL) and performance tuning
Knowledge of Redis caching strategies and distributed systems design
System Design & Integration
Third-party API integrations webhooks and microservices patterns
Security best practices for sensitive data and API design
CI/CD containers (Docker) and deployment automation
Monitoring/logging/observability (metrics tracing alerts)
Preferred Qualifications
Experience in healthcare fintech or other regulated domains
Familiar with HL7 FHIR and HIPAA requirements
High-scale data processing and real-time systems
Background with AI/ML systems and model serving
Message queues event-driven and async architectures
Knowledge of healthcare workflows EHRs or telehealth platforms
Seed/Series A startup experience
Advanced degree in CS/Engineering (or related)
What We Offer
Competitive salary meaningful equity (seed-stage top-tier investors)
Direct impact on healthcare access for millions of patients
High autonomy technical leadership and direct line to the CEO
Access to cutting-edge tech and resources to solve complex scaling challenges
Collaboration with leading AI engineers and healthcare technologists
Benefits reimbursement
Required Experience:
Senior IC
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