AI Software Engineer I

Key Job Areas of Responsibilities

• Develop and enhance software applications using AI-assisted development tools and practices.
• Analyze business requirements and translate them into technical solutions.
• Create prototypes, write code, perform testing, debugging, and deployment activities.
• Generate and maintain technical documentation.
• Ensure compliance with Garrett development, quality, security, and coding standards.
• Leverage AI to improve development productivity, code quality, and delivery efficiency.
• Collaborate with team leads, business stakeholders, and team members to deliver solutions.
• Support application maintenance, troubleshooting, and continuous improvement initiatives.
• Participate in code reviews and knowledge-sharing activities.
• Perform unit, integration, functional, and non-functional testing using AI-assisted tools to ensure solution quality before release.
• Troubleshoot and resolve application issues using AI-enabled analysis and debugging techniques.
• Deliver high-quality solutions on time, following Team Lead guidance and development standards.
• Create and maintain accurate technical documentation, leveraging AI tools where appropriate.
• Review and validate AI-generated code, tests, and documentation to ensure quality, security, and compliance.
• Support, update, repair, modify and develop existing software and generic applications as per ITOM
• Harden MHS solutions with automated AI assisted testing and secure coding; peer reviews that satisfy plant IT/OT audit expectations.
• Lead complex incident resolution, root-cause analysis, and permanent fixes for production issues affecting MHS availability.
• Document architecture decisions, deployment runbooks, and knowledge articles that keep shop-floor support teams aligned.
• Collaborate with manufacturing logistics teams across globe, and IT stakeholders to translate operational needs into actionable MHS backlog

Education/Qualifications

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

Experience Required

Key Skills and Knowledge

• Strong knowledge in coding using web technologies like Angular, .NET Web API, Node JS
• Strong knowledge with AI assisted coding and software development testing
• Strong knowledge in SQL Server Database programming through Entity Framework
• Good knowledge on CI & CD pipelines, with Git, Azure DevOps or similar, infrastructure as code, and containerized runtime environments supporting plant systems.
• High experience with Could AWS RDS and database optimization
• Knowledge of C++ will be added advantage
• Ability to understand technical requirements & independently code and deliver the requirements
• Demonstrated bias for learn & innovate mindset
• Problem solving skills
• Demonstrated English written and oral communication skills and ability to interact with global teams
• 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.