QualityKiosk Technologies - Software Engineer - Node.js/MongoDB

<p><p><b>Software Engineer (35 Years Experience)</b><br/><br/> <b>About the Role</b><br/><br/> We are seeking a Software Engineer with 35 years of professional experience who excels in problem-solving, has strong communication skills, and is proficient in modern JavaScript frameworks.<br/><br/> The ideal candidate should have hands-on experience in backend development, REST APIs, and databases, along with a foundational understanding of AI/ML and prompt engineering.<br/><br/> <b>Responsibilities :</b><br/><br/> - Develop, test, and maintain scalable applications using JavaScript frameworks (React, Node.js, Next.js, etc.)<br/><br/></p><p> - Work on backend development using JavaScript-based frameworks (Node.js, Express)<br/><br/></p><p> - Design, build, and integrate REST APIs for web and mobile applications.<br/><br/></p><p> - Manage and optimize databases (SQL/NoSQL).<br/><br/></p><p> - Collaborate with product, design, and engineering teams to deliver high-quality solutions.<br/><br/></p><p> - Debug, optimize, and improve application performance.<br/><br/></p><p> - Explore AI/ML-driven features and develop optimized prompts for LLMs.<br/><br/></p><p> - Communicate technical ideas effectively to technical and non-technical stakeholders.<br/><br/> <b>Requirements :</b><br/><br/> - 35 years of experience as a Software Engineer or Full Stack Developer.<br/><br/></p><p> - Strong expertise in JavaScript/TypeScript and experience with front-end and back-end frameworks (React, Node.js, Express, Next.js, etc.)<br/><br/></p><p> - Proven experience in REST API development and integration.<br/><br/></p><p> - Hands-on experience with databases (MySQL, PostgreSQL, MongoDB, or similar).<br/><br/></p><p> - Excellent problem-solving and communication skills.<br/><br/></p><p> - Basic understanding of AI/ML concepts.<br/><br/></p><p> - Knowledge or experience with prompt engineering and large language models (LLMs).<br/><br/> <b>Nice to Have :</b><br/><br/> - Familiarity with cloud platforms (AWS, GCP, Azure).<br/><br/></p><p> - Exposure to AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).<br/><br/></p><p> - Understanding of CI/CD pipelines and DevOps practices.<br/><br/></p><p> - Prior experience in building or integrating AI-powered applications.</p><br/></p> (ref:hirist.tech)