Lead Software Engineering, AI Products

Job Responsibilities • Develop full-stack, reactive web applications for deployment on desktop or cloud platforms such as AWS, Microsoft Azure or GCP. • Work with UX/UI designers to develop responsive front-end user interfaces using HTML, CSS, React.js or equivalent technologies. • Work with AI Engineers and Software Engineers to develop server-side applications using Python, Node.js or equivalent frameworks. • Leverage AI-assisted development tools to improve software development productivity, code quality and engineering workflows. • Apply hands-on experience with Generative AI and Agentic AI to design and implement intelligent application features and workflows. • Integrate Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and Agentic AI capabilities into applications through APIs and appropriate architecture, enabling secure, scalable and maintainable intelligent features and workflows. • Work with QA engineers to develop test scripts and ensure the quality and reliability of applications. • Troubleshoot and resolve technical issues during development and in production. • Document and communicate full-stack and AI integration designs to technical stakeholders. • Apply DevOps, CI/CD, automated testing, software design and secure coding best practices. • Keep abreast of emerging technologies, tools and trends across full-stack development, Generative AI and Agentic AI. • Work closely with engagement and product managers to develop prototypes and demos for end users. Requirements Job Requirements • Postgraduate / Tertiary qualification in computer science, engineering, information systems or other quantitative / analytical fields. • More than 6 years of relevant experience in technology development with min. 3 years of experience in delivering large-scale projects with multi-sites deployment and proven track records. • Hands-on experience with front end languages such as HTML5, CSS and JavaScript and frameworks such as React or Angular. • Hands-on experience with back-end technologies / framework such as Python, Node, Express and SQL/NoSQL Database. • Hands-on experience with test automation and CI/CD workflow. • Hands-on experience with Docker and Kubernetes is preferred. • Experience with software development practices using Agile SCRUM or Kanban methodology. • Ability to communicate technical concepts in a clear and effective manner. • Ability to work effectively with cross-functional teams. • Self-motivated, team player, creative with excellent communication skills, excellent interpersonal skills and ability to work independently. • Having domain knowledge in Homeland Security sector will be an added advantage. What We Offer • Opportunity to work on meaningful public sector digital initiatives. • A supportive, purpose-driven team culture. • Structured career development and technical upskilling. • Access to modern tools, cloud technologies, and secure DevSecOps environments. Additional Information • Shortlisted applicants may be involved in classified or sensitive projects that require handling of restricted information. As such, selected candidates will be required to undergo a security clearance process as part of the employment consideration.