Software Engineer

Company Description AI Vidya is focused on empowering professionals and learners to grow their careers through cutting‑edge AI training and mentorship. The organization offers personalized training programs designed to build confidence and practical skills in artificial intelligence and related technologies. Participants receive structured guidance and dedicated job assistance to help them navigate the fast‑paced digital landscape. AI Vidya's mission is to equip future AI leaders with the tools, knowledge, and support needed to succeed and stay at the forefront of technological innovation.
Role Description The Software Engineer at AI Vidya will design, develop, and maintain software solutions that support AI training platforms and related services. Day-to-day responsibilities include implementing backend services, writing efficient and secure code, integrating APIs, and collaborating with cross-functional teams to deliver reliable features. The role involves participating in code reviews, troubleshooting issues, improving system performance, and contributing to technical documentation and best practices. This is a full-time remote role, requiring regular communication with team members across time zones and proactive ownership of projects.
Qualifications

• Strong foundation in Computer Science, including data structures, algorithms, and software engineering principles.
• Proficiency in Software Development and Programming using modern languages and frameworks.
• Experience with Back-End Web Development, including RESTful APIs, databases, and server-side architectures.
• Solid understanding of Object-Oriented Programming (OOP) concepts and their application in production systems.
• Relevant experience with cloud platforms (e.g., AWS, GCP, Azure) and version control tools such as Git.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Ability to work independently in a remote environment, communicate clearly, and collaborate in diverse teams.
• Interest or experience in AI, machine learning, or data-intensive applications is a plus.