AI Software Engineer II

Education/Qualifications

• 'Bachelor’s degree in Information Technology / Computer science / Electronics stream or Master of Computer applications.

Experience Required

Key Skills and Knowledge

• Strong experience in designing, developing, and supporting enterprise applications across diverse platforms using modern development tools and frameworks.
• Strong knowledge with AI assisted coding and software development testing
• Excellent understanding of software architecture, design patterns, object-oriented design principles, and scalable application development.
• Strong knowledge of database design, SQL, Angular, normalization, performance tuning, and data integration concepts.
• Hands-on experience with technologies such as C#, .NET, Cursor, APIs, and data structures, with the ability to evaluate and apply the right technology for business needs.
• Strong analytical and problem-solving skills, with the ability to quickly understand complex business processes, identify root causes, and provide effective solutions.
• Experience in solution design, system integration, and application support within enterprise planning and supply chain environments.
• Deep understanding of high-level design, application architecture, and best practices for maintainable, secure, and reliable systems.
• Working knowledge of DevOps practices including CI/CD pipelines, version control, release management, and deployment support.
• Sound knowledge of AI and Generative AI trends, including intelligent automation, copilots, prompt engineering, document intelligence, and AI-assisted decision support in enterprise applications.
• Critical understanding of AI/ML integration concepts, data-driven analytics, and opportunities to apply AI solutions to improve business processes and user productivity.