AI Software Engineer I

Responsible for the development of technology solutions through the creation of new applications and enhancement of existing software, with mandatory and extensive use of Artificial Intelligence (AI) throughout the software development lifecycle. Designs, prototypes, develops, tests, debugs, documents, and implements software applications in accordance with business and technical requirements. Leverages AI-assisted development tools and practices to improve productivity, code quality, innovation, and delivery speed. Ensures all applications are developed in compliance with applicable Garrett development standards, architecture guidelines, and best practices. Builds and maintains strong collaborative relationships with the Team Lead and team members to effectively develop, deliver, and continuously improve technology solutions.

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

3 to 5 year of experience in software development

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.