Software Engineer - Data Platform (AI)

TL;DR

Software Engineer - Data Platform (AI): Building the data foundations and backend schemas for an AI-native Healthcare Revenue Operating System with an accent on high-throughput data pipelines and scalable APIs. Focus on architecting microservices, implementing observability, and orchestrating complex data flows.

Location: In-person in New York City (SoHo), requiring at least 3 days in the office

Salary: $175,000 – $300,000 per year

Company

An AI innovation engine building the first AI-native Healthcare Revenue Operating System to automate medical coding and billing for the largest U.S. health systems.

What you will do

• Own the data foundations, including backend schemas and APIs that power both the AI engine and the user-facing application.
• Develop reliable systems for ingesting, transforming, and serving large-scale healthcare data.
• Architect and build microservices and ETL pipelines using Python, Go, or Java.
• Manage cloud infrastructure using Terraform, Docker, and Kubernetes.
• Orchestrate streaming data flows and complex workflows with Spark, Airflow, or Kafka.
• Implement observability and reliability practices to detect drift, latency, and data quality issues.

Requirements

• Must be based in New York City or be able to work from the SoHo office at least 3 days per week.
• Minimum of 5 years of software engineering experience.
• At least 2 years of experience working with high-throughput data pipelines.
• Experience building data backends for production-grade ML systems or user-facing SaaS applications.
• Proficiency in Python, Go, or Java.
• Experience with infrastructure tools including Terraform, Docker, and Kubernetes.

Nice to have

• Experience with healthcare data standards such as FHIR and HL7.

Culture & Benefits

• Top-of-market compensation including salary and equity.
• Comprehensive health benefits and 401(k) matching.
• Flexible PTO.
• Opportunity to work in a mission-driven environment with startup-level ownership and enterprise-level impact.

Hiring process

• Introductory call to discuss background and mission alignment.
• Technical deep-dives involving pseudo-coding and systems design.
• In-person culture interview in New York City.
• Reference checks and final offer.