Python Engineer

Work type:
Full time
· Department: EPD
· Workplace:
Hybrid
· USD ,000 / year

New York, United States

Every year, U.S. health plans lose billions to improper payments and administrative waste. That wasted spending ultimately trickles down across the healthcare ecosystem, driving up costs for plans, providers, and patients alike. We're here to change that paradigm.

Alaffia is a new kind of claims operations partner for health plans. Using expert clinicians and transparent AI, we deliver deeper insights, smarter automation, and consistently better outcomes across the entire lifecycle of claims. With Alaffia, health plans can cut wasted spending more effectively than ever - and provide their members the most affordable care.

We're a high-growth, venture-backed Series B healthtech startup based in NYC and are actively scaling our company. Join us in helping to build a healthcare system that works better for everyone.

* This position requires current authorization to work in the United States. Unfortunately, we are not in a position to sponsor work visas at this time.

Alaffia Health is a healthcare AI startup revolutionizing medical billing and data automation. Our AI-driven platform leverages state-of-the-art generative AI and machine learning technologies to enhance accuracy, efficiency, and compliance in medical billing and auditing. As we scale, we're looking for a Staff Python Engineer to solve complex, cross-team technical challenges, set architectural direction, and act as a force multiplier across our engineering org.

You will be tasked to build the GenAI framework for the engineering team to build AI agents on, and lead the effort to scale our GenAI applications. You'll translate strategic goals into technical roadmaps, drive execution, and champion AI-augmented development practices, all while tackling challenging problems in backend architecture, system design, and cloud infrastructure.

• Architect and own delivery of complex, high-impact backend systems spanning multiple teams, including the GenAI framework other engineers build AI agents on

• Set technical direction and coding/design standards for Python backend development across the org

• Design, develop, and deploy data-intensive applications in Python in a production environment

• Drive AI coding tool adoption (Claude Code, Copilot, Cursor) - establish best practices and measure productivity gains

• Mentor senior engineers and influence technical decisions without formal authority

• Partner cross-functionally with fullstack, data, Dev Ops, and AI engineers, as well as product and business teams, to craft a feature-rich, GenAI-powered agentic workflow framework

• Own testing strategy, system health, observability, and build-vs-buy decisions for critical infrastructure

• 10+ years of software engineering experience, with a track record of leading complex, high-impact projects at scale, including large-scale, production-level API development and backend data processing

• Expert-level Python, with hands-on experience developing test suites and working with CI/CD tooling for automation

• Hands-on experience with relational databases and data model design

• Strong system design and cloud infrastructure experience (AWS preferred), including CI/CD, containerization (Docker, Kubernetes), and observability practices such as logging, user activity metrics, and integration with Datadog or similar tooling

• Demonstrated success adopting AI coding assistants to improve team productivity

• Excellent communication skills and experience mentoring senior engineers

• Healthcare tech/regulatory experience (HIPAA, HITRUST) a plus

• Building SaaS apps in the…