Agent AI offers AI-powered medical billing solutions to automate tasks, reduce costs, and minimize claim denials for faster payment processing.

AgentAI

**Senior AI-Native Full Stack Engineer (Python/Django & React)**

AgentAI is transforming healthcare operations through AI-driven automation. As an AI-focused organization acquiring and modernizing revenue cycle management (RCM) and medical billing businesses, our mission is to streamline complex operational workflows and unlock greater efficiency through intelligent software.

We're growing quickly and looking for an exceptional engineer who can help us scale our platform, ship impactful features, and leverage modern AI development tools to move faster without sacrificing quality.

**The Role**

We're seeking a Senior AI-Native Full Stack Engineer to join our team and help build the next generation of software powering healthcare workflow automation.

This is a hands-on product engineering role for someone who thrives in fast-moving environments, enjoys owning features from concept to deployment, and actively uses AI coding tools such as Cursor, Claude Code, or similar platforms to accelerate development.

You'll work across the full stack, building scalable backend services, intuitive user-facing applications, and cloud-native infrastructure while helping shape engineering best practices in an AI-first development environment.

**What You'll Do**

Design, build, and maintain full-stack applications using Python, Django, React, and modern web technologies.
Develop and maintain RESTful APIs using Django REST Framework.
Build scalable backend services and data models supporting healthcare workflow automation.
Collaborate closely with product and engineering stakeholders to rapidly deliver new features.
Optimize application performance, database queries, and system reliability.
Leverage AI-assisted development tools to accelerate implementation while maintaining high code quality.
Review, validate, and improve AI-generated code through critical thinking and engineering best practices.
Contribute to cloud infrastructure and deployment workflows in AWS.
Write automated tests and ensure production-grade reliability and maintainability.
Take ownership of projects from architecture through deployment.

**What We're Looking For**

**Required Qualifications**

3–8+ years of professional software engineering experience.
Strong experience building production applications with Python and Django.
Experience developing REST APIs using Django REST Framework (DRF).
Strong frontend development experience with React and JavaScript.
Solid understanding of relational databases and SQL.
Experience working with AWS cloud services.
Strong understanding of software architecture, debugging, testing, and code quality practices.
Ability to work independently and own features end-to-end.
Experience working in fast-paced startup or high-growth environments.
Availability to overlap with Pacific Time working hours.
AI-Native Development Experience

We're specifically looking for engineers who actively leverage AI coding tools in their daily workflow.

Ideal candidates will have experience using tools such as:

Cursor
Claude Code
GitHub Copilot
Windsurf
Other AI-assisted software development platforms

You should be comfortable prompting AI effectively, validating generated solutions, debugging AI-generated code, and using AI as a force multiplier rather than a replacement for engineering judgment.

**Nice to Have**
Healthcare technology experience.
Revenue cycle management (RCM), medical billing, EHR, or EMR exposure.
PostgreSQL experience.
MongoDB experience.
Experience scaling products in high-growth startup environments.
Familiarity with workflow automation and AI-powered business applications.

**What Success Looks Like**

Quickly become productive and contribute meaningful features.
Reduce engineering bottlenecks by taking ownership of key initiatives.
Deliver high-quality software using AI-assisted development workflows.
Help scale systems supporting rapidly growing healthcare operations.
Contribute to a culture of speed, ownership, and continuous improvement.

Step 1. Initial Interview to evaluate fit and discuss overall experience. (Panel of 2-3)
Step 2. Coding assessment (90m) Personality Assessment (30m)
Step 3. Review Assignment and Final Discussions
