AI Full Stack SDE

Company Description Effulgent Inc is a technology consulting and solutions provider that helps organizations thrive in a digital-first world. The company delivers custom software development, cloud services, and data & analytics capabilities that support innovation and performance. Effulgent Inc combines strategic IT guidance with scalable cloud integration, enabling clients to modernize their technology landscape. Team members collaborate with diverse industries, working on projects that emphasize cutting-edge tools, practical impact, and long-term value.

Role Description This is a remote contract role for an AI Full Stack Software Development Engineer (SDE). The AI Full Stack SDE will design, develop, and maintain end-to-end software solutions, including back-end services, APIs, and front-end interfaces that integrate AI and data-driven features. Daily responsibilities include writing clean, scalable code, implementing object-oriented designs, building and consuming web services, and integrating cloud-based components. The role involves collaborating with product managers, data and AI engineers, and other developers to define requirements, troubleshoot technical issues, optimize performance, and ensure secure, reliable deployments. The engineer will participate in code reviews, contribute to technical documentation, and help improve development workflows and best practices.

Qualifications

• Strong foundational knowledge in Computer Science, including algorithms, data structures, and software design principles.
• Experience in Software Development and Programming, with proficiency in at least one modern language (e.g., Python, Java, JavaScript, or C#).
• Proficiency in Back-End Web Development, including building RESTful APIs, working with databases (SQL/NoSQL), and integrating cloud services.
• Solid understanding of Object-Oriented Programming (OOP) concepts and patterns, and ability to apply them in production-grade systems.
• Familiarity with AI/ML integration, data pipelines, or using machine learning models within applications is highly beneficial.
• Experience with front-end frameworks (such as React, Angular, or Vue) and modern web development practices is a plus.
• Knowledge of version control systems (e.g., Git), CI/CD pipelines, and containerization tools (e.g., Docker, Kubernetes) is advantageous.
• Ability to work independently in a remote setting, manage priorities, and communicate effectively with cross-functional teams.
• Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.