Tech – Software Engineer: AI Solutions to Improve Software Delivery

Important

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Role

Software Engineer

Division

Strategy, Plans & Performance

Level

Undergraduate, Polytechnic Student, Post-Diploma

Internship Duration

6 months, 3 months

Project Description

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This project focuses on designing and developing AI solutions to enhance software development and governance processes across government agencies. The initiative will cover key areas including application development, test case design and generation, test automation, Infrastructure as Code (IaC), and CI/CD pipeline configuration. The AI solutions will strengthen governance capabilities by automating source code reviews, evaluating CI/CD pipeline configurations, assessing code review quality, and identifying false positives in code quality and vulnerability assessments. Through these targeted interventions, the project aims to elevate DevSecOps maturity levels across government agencies, ultimately improving software delivery efficiency and security posture. The solution creates scalable, intelligent assistance for development teams while maintaining robust oversight and quality assurance throughout the software development lifecycle.

Learning Outcomes

- Gain comprehensive experience in applying AI to solve real-world challenges through practical problem-solving scenarios - Develop hands-on technical skills in designing and developing AI solutions from conceptualisation to implementation - Acquire collaborative experience working directly with agency project teams to deploy and integrate solutions into operational government environments - Build understanding of the full solution lifecycle, encompassing both technical development and practical implementation considerations

Prerequisites

Technical Skills: - Programming proficiency in Python or JavaScript/TypeScript for agent development - Familiarity with version control systems (Git) AI/ML Competencies: - Experience with large language models and agentic engineering techniques Soft Skills: - Strong analytical thinking for understanding complex development workflows - Communication skills to gather requirements from development teams - Problem-solving abilities to design effective automation solutions - Attention to detail for governance and quality assurance tasks