Your mission: transform Cursor from a smart assistant into a genuine engineering multiplier — someone who uses AI to accelerate excellence, not to replace craftsmanship. You’ll ensure every line of AI-generated code meets professional standards in architecture, performance, and security
Design, build, and optimize AI-assisted development workflows by integrating Cursor (or equivalent tools) into the team’s codebase, CI/CD, and automated testing pipelines
Create and maintain prompt libraries, templates, macros, and recipes to standardize and scale recurring engineering tasks
Audit, refine, and validate AI-generated code for quality, coherence, maintainability, and security compliance
Train and mentor other developers on how to leverage Cursor effectively as part of their daily workflow
Act as a bridge between product, architecture, and engineering, ensuring that AI-generated output aligns with the system’s overall design principles
Define and monitor key performance metrics such as code quality, time saved, and refactor success rate
Stay at the frontier of LLM and AI code generation advancements, recommending new tools and automation strategies to continuously raise the bar
Strong background in full-stack software development (ideally with JavaScript/TypeScript, Python, or Go)
Proven mastery of Cursor or similar AI coding tools (Copilot, Cody, Codex, etc.). (MANDATORY)
Solid experience in prompt engineering and designing AI-assisted workflows
Strong testing, refactoring, and code review abilities — capable of enforcing quality in AI-generated code
Deep understanding of software architecture, design patterns, performance optimization, and security best practices
Experience integrating with CI/CD systems, testing frameworks, and code linters
Excellent debugging and root cause analysis skills, especially when generated code fails or diverges from expectations
Ability to document, teach, and evangelize AI-driven development methodologies