Cursor Engineer

Possible 3 Month CTH Role name: Cursor Engineer Work Location: US (Remote) Start date: Immediate availability. Background check MANDATORY 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 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 Required Skills & Experience Core Engineering Strong proficiency in one or more languages: Python, Java, JavaScript/TypeScript, Go, or C# Experience with REST APIs, microservices, and cloud-native architecturesSolid understanding of: Data structures & algorithms Design patterns Software development best practices AI & Cursor-Specific Skills Hands-on experience using Cursor IDE for: Code generation and refactoring Multi-file reasoning Test case creation Documentation generation Strong prompt engineering skills for software development use casesExperience working with LLMs (GPT, Claude, etc.) in coding workflowsAbility to validate, harden, and productionize AI-generated code DevOps & Tooling Experience with Git, CI/CD pipelines, Docker, KubernetesFamiliarity with cloud platforms: AWS, Azure, or GCPKnowledge of security, performance, and scalability considerations