Cursor Engineer

Position Overview We are seeking a highly skilled Cursor Engineer with strong software development expertise and hands-on experience leveraging Cursor AI IDE to accelerate application development, code modernization, debugging, and automation. The ideal candidate should be proficient in modern programming languages, AI-assisted coding workflows, and software engineering best practices while effectively integrating LLM-powered development tools into the SDLC. Key Responsibilities • Design, develop, test, and deploy scalable enterprise applications using AI-assisted development practices. • Utilize Cursor AI IDE to improve developer productivity through intelligent code generation, refactoring, debugging, and documentation. • Build and maintain high-quality, reusable, and maintainable code following software engineering best practices. • Collaborate with product owners, architects, and cross-functional teams to translate business requirements into technical solutions. • Optimize AI prompts and workflows to maximize Cursor's effectiveness for coding, testing, and documentation. • Review AI-generated code for quality, security, performance, and maintainability. • Develop RESTful APIs and integrate with cloud-native services and third-party platforms. • Automate repetitive development tasks using scripting and AI-assisted workflows. • Participate in Agile ceremonies including sprint planning, code reviews, retrospectives, and daily stand-ups. • Mentor team members on AI-assisted software development best practices. Required Skills • 4+ years of professional software development experience. • Hands-on experience using Cursor AI IDE in enterprise development environments. • Strong programming experience in one or more languages: • Python • Java • JavaScript / TypeScript • C# • Go (preferred) • Experience building RESTful APIs and microservices. • Strong understanding of Git, GitHub/GitLab, branching strategies, and CI/CD pipelines. • Experience with modern frameworks such as React, Angular, Spring Boot, .NET, or Node.js. • Understanding of prompt engineering and effective utilization of LLMs in software development. • Experience with debugging, code refactoring, automated testing, and performance optimization. • Familiarity with Agile/Scrum methodologies. Preferred Qualifications • Experience with AI coding assistants such as Cursor, GitHub Copilot, Claude Code, Windsurf, or Amazon Q. • Knowledge of OpenAI, Anthropic, or Google Gemini APIs. • Experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP). • Familiarity with Infrastructure as Code (Terraform, CloudFormation). • Knowledge of secure coding standards and DevSecOps practices. • Experience integrating AI into developer workflows and SDLC automation. Nice to Have • Experience with Retrieval-Augmented Generation (RAG). • Experience building AI-powered developer tools or internal engineering platforms. • MCP (Model Context Protocol) knowledge. • Experience with LangChain, LangGraph, or LlamaIndex. • Exposure to AI agent frameworks and autonomous coding workflows.