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Mid-level, generalist AI-software engineer title attracts competitive applicant pool.
Requires AI integration plus enterprise C#/.NET and supply-chain domain knowledge, moderately transferable across industries.
Explicit 3–5 years requirement plus mandatory AI skills and specific C#/.NET/Angular tech stack.
Develop, enhance, and maintain software applications extensively using AI-assisted development tools and practices throughout the software lifecycle.
Lead complex incident resolution, root-cause analysis, and implement permanent fixes for production issues to ensure application availability.
Collaborate globally with team leads, business stakeholders, and IT teams to translate operational needs into technical solutions and maintain compliance with development and security standards.
Bachelor’s degree in Information Technology, Computer Science, Electronics, or Master of Computer Applications.
3 to 5 years of experience in software development.
Strong experience with AI-assisted coding, software testing, and development tools in enterprise application environments.
Proficiency in C#, .NET, SQL, Angular, APIs, and knowledge of software architecture, design patterns, and DevOps practices like CI/CD and version control.
Experienced in designing and supporting scalable, secure, and maintainable enterprise applications with AI integration and generative AI trends.
Strong analytical skills to understand complex business processes and provide effective AI-driven solutions within planning and supply chain domains.
Capable of mentoring technical teams, leading discussions, and coordinating cross-functional collaboration for timely solution delivery.