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About the Role

We are an early-stage AI healthtech startup building a platform to automate the payer compliance lifecycle. As a Forward Deployed Engineer, you will embed with customers to design, build, and own the integration layer connecting our platform to provider and payer systems. This role is at the intersection of engineering, customer success, and product, translating clinical workflows into reliable integrations.

Responsibilities

Own provider and payer integrations end-to-end, from discovery through to production deployment.
Join client discovery sessions to map clinical and administrative workflows and convert them into precise technical requirements.
Build and maintain integrations using RESTful APIs where available, and scrapers/RPA tooling where legacy systems require it.
Ship custom integrations quickly to meet time-sensitive client needs.
Contribute to core product development when integration work allows.
Develop deep working knowledge of the US provider/payer landscape, including HIPAA/HITECH and HL7 standards.
Work across a Python/FastAPI backend and React + TypeScript frontend as needed.
Operate and manage cloud infrastructure on AWS or GCP with Postgres-backed services.
Communicate technical tradeoffs clearly to non-technical stakeholders and client teams.

Requirements

2–5 years of full-stack engineering experience, ideally on small startup teams with broad ownership.
Proven track record owning features or products end-to-end with minimal guidance.
Strong experience integrating with third-party RESTful APIs (authentication, data mapping, error handling).
Hands-on experience building web scrapers or RPA workflows for legacy or non-API systems.
Cloud infrastructure experience on AWS or GCP.
Familiarity with Python, FastAPI, React, TypeScript, Postgres, and GitHub.
Domain knowledge in US healthcare — familiarity with payer/provider workflows, HIPAA/HITECH, and HL7 standards.
Experience building AI-enabled features in production (beyond personal use of coding assistants).
Active, fluent use of AI coding tools (e.g., Claude Code, Cursor) to accelerate shipping.
Strong written and verbal English communication skills — able to tell a clear technical story to non-technical audiences.
Legal authorization to work in the United States without visa sponsorship (dealbreaker).
Experience as a forward deployed or customer-facing engineer (Nice to Have).
Comfort with ambiguity and rapid iteration in an early-stage environment (Nice to Have).
Willingness to travel to client sites as needed (Nice to Have).

Skills

Python
FastAPI
React
TypeScript
Postgres
GitHub
AWS
GCP
RESTful APIs
Web scraping
RPA
HIPAA/HITECH
HL7 standards
AI coding tools

Location

New York, NY

Work Type

Hybrid
Occasional travel to client sites

Experience Level

2-5 years

Salary/Compensations

$150,000 – $230,000 USD annually

Benefits

Equity participation in an early-stage, venture-backed company.
Opportunity for high-impact, high-visibility work with direct access to leadership and customers.

About the Company

Early-stage AI healthtech startup building a platform that automates the payer compliance lifecycle for procedural specialties — covering benefits verification, medical necessity, prior authorization, and appeals.
Integrates deeply with EHR systems (Epic, Athena, eClinicalWorks and others) and works across complex provider and payer workflows.