AI-Augmented Backend Engineer (Python/Django)

Hill Research; Princeton (NJ); On-site; USD 80,000 - 100,000; Full time

Job summary

Hill Research in Princeton, New Jersey is seeking an experienced engineer to help build a cutting-edge SaaS platform for clinical trial reporting. This role focuses on designing and maintaining robust backend systems that leverage AI to enhance productivity.

The ideal candidate should provide proven expertise in technologies such as Python, Django, and AWS. You will be responsible for creating multi-tenant systems with an emphasis on production reliability, innovative workflows, and AI integration.

Qualifications

• Strong experience in designing clean, maintainable backend systems.
• Ability to review and improve AI-generated code.
• Proficiency with tools like Claude Code, Cursor, or Copilot.

Responsibilities

• Build multi-tenant SaaS backend systems.
• Implement workflow-heavy business logic.
• Ensure production-grade reliability and performance.

Skills

Backend system design

Python

Debugging AI-generated code

Django

AWS (S3, Lambda)

Docker

Redis

AI tools usage

Job description

At Hill Research, we are building a SaaS platform for clinical trial statistical programming and reporting. But more importantly — we are building a company where AI powers ~70% of engineering execution.

That means:

• AI assists with code generation, test scaffolding, refactoring, documentation, and workflow automation
• Engineers focus on architecture, system design, production reliability, and judgment

We are not looking for someone who occasionally uses AI tools. We’re looking for an engineer who:

• Designs clean, maintainable backend systems
• Uses tools like Claude Code / Cursor / Copilot to move faster
• Can review, debug, and improve AI-generated code with sound engineering judgment
• Python
• Django Tenants (multi-tenant SaaS)
• Redis
• AWS (S3, Lambda)
• Docker
• uv

What You’ll Be Building

• Multi-tenant SaaS backend systems
• Workflow-heavy business logic
• Production-grade reliability and performance
• AI-integrated backend services

AI-augmented engineering is our default workflow — but engineering fundamentals still matter.

To Apply

DM with:

• A brief intro
• Your LinkedIn / GitHub
• A short note on how you use AI tools in your development workflow