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 automationEngineers 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 systemsUses tools like Claude Code / Cursor / Copilot to move fasterCan review, debug, and improve AI-generated code with sound engineering judgment Tech Stack PythonDjango 5.xDjango NinjaDjango Tenants (multi-tenant SaaS)PostgreSQLRedisAWS (S3, Lambda)DockeruvLLM / agent backend modules What You’ll Be Building Multi-tenant SaaS backend systemsWorkflow-heavy business logicProduction-grade reliability and performanceAI-integrated backend services AI-augmented engineering is our default workflow — but engineering fundamentals still matter. To Apply DM With A brief introYour LinkedIn / GitHubA short note on how you use AI tools in your development workflow