Broad outline of the Role This role is responsible for the end-to-end software development lifecycle, with a focus on delivering robust, scalable, and maintainable solutions. The Software Developer will primarily use established programming languages and frameworks, while also beginning to leverage AI-enabled tools in a supportive capacity for coding, testing, deployment, and debugging. The role supports ongoing business operations and customer requirements, while encouraging responsible experimentation with AI to improve efficiency and quality. Minimum Qualifications & Experience Graduation in Computer Science and Engineering or a related field 0-4 years relevant experience Other Knowledge & Skills Agile Methodology Java JavaScript Python Software Architecture C++ Angular API Design API Testing AWS Familiarity with AI-assisted Testing Tools (e.g., code suggestion, automated test case generation) AI-assisted (CI or CD) Prompt Engineering Generative AI Automation Testing AI Analysis Key Responsibilities Write effective and scalable code using Java, JavaScript, Python, and C++ (languages can be added basis the requirements) in accordance with project requirements and coding standards. Utilize Generative AI-powered code completion and review tools (e. g. , code suggestion plugins, basic static analysis) to enhance productivity and reduce manual errors. Support application testing and debugging using AI-assisted tools for initial bug identification and automated test case generation, while retaining manual oversight and validation. Deploy applications and monitor their performance using standard monitoring tools, with limited use of AI-driven analytics for anomaly detection and reporting. Participate in continuous integration and delivery (CI or CD) processes, using automation tools to streamline deployments and basic AI features for build optimization. Collaborate with team members on API design, development, and testing, using AI tools for documentation and test case suggestions where available. Analyze reports generated by AI tools on code quality, time deviations, and rework, and present findings to supervisors for further action. Utilize AI-generated insights to optimize software development calendars. Engage in continuous learning to stay updated on software development best practices, with exposure to emerging AI technologies relevant to the function. Support data-driven decision-making by validating outputs from AI-assisted data processing pipelines, ensuring accuracy and compliance with business requirements. Contribute to a culture of responsible AI experimentation by sharing feedback on AI tool effectiveness and participating in pilot initiatives as assigned.