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Job Description 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 systems—owning secure APIs, distributed services, and data pipelines that power 14M+ patient interactions with uncompromising reliability and healthcare compliance.
What You'll 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)
You’ll 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
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)
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
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job Description 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 systems—owning secure APIs, distributed services, and data pipelines that power 14M+ patient interactions with uncompromising reliability and healthcare compliance.
What You'll 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)
You’ll 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
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)
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
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr