AI-Augmented Backend Engineer (Python/Django)

Hill Research; New Jersey; On-site; USD 100,000 - 130,000; Full time

Job summary

A leading tech firm in New Jersey is seeking an engineer to design backend systems for a SaaS platform. The role requires a strong proficiency in Python and Django, experience with AWS, and the ability to enhance AI-generated code. You will be involved in building multi-tenant SaaS solutions and ensuring their reliability and performance. If you enjoy integrating AI tools into your workflow, this position may be the perfect fit.

Qualifications

• Experience designing clean, maintainable backend systems.
• Proficient in Python and Django for SaaS development.
• Familiar with AWS services like S3 and Lambda.

Responsibilities

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

Skills

Backend system design

AI tools usage (Claude Code, Cursor)

Code review and debugging

Python

Django

AWS (S3, Lambda)

Docker

Clean code practices

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