AI-Augmented Backend Engineer (Python/Django)

About The Role 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: Has strong fundamentals (APIs, databases, reliability, debugging) 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 Tech Stack Python Django 5.x Django Ninja Django Tenants (multi-tenant SaaS) PostgreSQL Redis AWS (S3, Lambda) Docker uv LLM / agent backend modules 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