Staff Software Engineer, RCM

Natera

3d • Remote

About The Position

Natera is seeking a high-caliber Staff Software Engineer to revolutionize our Revenue Cycle Management (RCM) through cutting-edge agentic workflows and production-grade AI services. You will bridge the gap between advanced Large Language Models (LLMs) and the complex world of medical billing, healthcare compliance, and financial forecasting.
This isn't just about "using an API." You will be architecting autonomous agents that read EOBs, navigate payer rules, and automate complex billing workflows—all while maintaining the rigorous security standards required in healthcare.

Requirements

• Python Mastery: Expert-level Python developer with a focus on FastAPI for high-performance, asynchronous services.
• AI/LLM Stack: Deep experience with LLM orchestration (LangGraph, CrewAI, or similar) and building agentic workflows.
• Tools of the Trade: Proficient in AI-augmented development using Claude Code, Gemini, and Cursor to accelerate delivery.
• AWS Infrastructure: Solid experience with AWS (ECS/Fargate, Lambda, S3) and CI/CD best practices.
• Healthcare/RCM: Direct experience in Revenue Cycle Management, medical billing, or healthcare tech. You should understand the nuances of claims, denials, and payer-provider interactions.
• Data Handling: Experience processing unstructured healthcare data and a solid grasp of multimodal AI (text + vision).
• Collaborative Mindset: Ability to translate complex requirements from billing, compliance, and finance experts into resilient backend code.
• Ownership: A "production-first" mentality—you don't just write code; you operate and monitor it.
• Object Oriented Programming
• Python, FastAPI
• Typescript
• Relational Database and SQL Programming, prefer Oracle
• REST APIs and other Web service backend technologies
• CI / CD
• Quality Assurance Mindset; Nice to have: familiarity with regulated environments

Nice To Haves

• Experience designing, configuring, and implementing external applications and integrations with a LabVantage LIMS application
• Experience designing, configuring, and implementing infrastructure and software used by the LabVantage LIMS application
• Experience in configuration and customization of commercial off-the-shelf product LIMS system to support order to result workflows
• Experience performing upgrades of a LabVantage LIMS system
• Experience with front-end web programming, preferably with modern JavaScript frameworks (react, angular, etc.)
• Healthcare IT experience

Responsibilities

• Systems Architecture: Design and deploy production-grade FastAPI services that wrap LLM calls, maintain stateful agent loops, and expose secure REST/GraphQL endpoints.
• Agentic Workflows: Build and orchestrate intelligent agents capable of handling unstructured documents (EOBs, medical records) using vision-augmented NLP and multimodal LLMs.
• Advanced RAG: Develop agentic RAG pipelines (chunking, embeddings, vector search) to surface critical codes and payer-specific rules in real-time.
• Cloud Operations: Containerize and operate the stack on AWS ECS/Fargate. Own the IaC pipelines to ensure seamless, high-frequency deployments (dev → staging → prod) multiple times a day.
• Observability & Analytics: Instrument services with OpenTelemetry, Grafana, and Sentry. Create dashboards to forecast denial rates, claim risks, and turnaround times.
• Product Evolution: Extend our React-based UI to allow human operators to launch agents, replay conversations, and inspect evaluation traces.
• Security & Compliance: Ensure every feature is architected to meet HIPAA, SOC 2, and Natera’s internal security benchmarks.

Benefits

• Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
• Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits.
• Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more.
• We also offer a generous employee referral program!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed