Cursor Engineer

Role: Cursor Engineer Work location: U.S Remote Duration: Long Term Job Description: We are seeking a Cursor Engineer with strong full-stack or backend engineering expertise and hands-on experience using Cursor (AI-powered code editor) to accelerate software development, refactoring, testing, and documentation. The ideal candidate will combine solid software engineering fundamentals with advanced prompt engineering and AI-assisted workflows to improve developer productivity and code quality. Key Responsibilities: "Key Responsibilities • Use Cursor IDE to design, develop, refactor, and optimize production-grade codebases • Leverage AI-assisted coding (inline prompts, multi-file context, refactor tools) to accelerate development lifecycle • Translate business and technical requirements into clean, maintainable, and scalable code • Perform AI-driven code reviews, debugging, and test generation • Collaborate with product owners, architects, and DevOps teams to deliver high-quality solutions • Ensure secure, compliant, and performant code aligned with enterprise standards • Create and maintain technical documentation using AI-assisted tooling • Mentor team members on best practices for Cursor and AI-first development workflows What are the Mandatory skills and skill proficiencies required for this position? "Core Engineering • Strong proficiency in one or more languages: oPython, Java, JavaScript/TypeScript, Go, or C# • Experience with REST APIs, microservices, and cloud-native architectures • Solid understanding of: oData structures & algorithms oDesign patterns oSoftware development best practices AI & Cursor-Specific Skills • Hands-on experience using Cursor IDE for: oCode generation and refactoring oMulti-file reasoning oTest case creation oDocumentation generation • Strong prompt engineering skills for software development use cases • Experience working with LLMs (GPT, Claude, etc.) in coding workflows • Ability to validate, harden, and productionize AI-generated code DevOps & Tooling • Experience with Git, CI/CD pipelines, Docker, Kubernetes • Familiarity with cloud platforms: AWS, Azure, or GCP • Knowledge of security, performance, and scalability considerations"