Software & AI Engineering Lead

IP-TRIBE (PRIVATE) LIMITED; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

IP-TRIBE (PRIVATE) LIMITED is seeking an experienced Software & AI Manager to lead the design, development, and deployment of software and AI-driven solutions in Singapore. The role blends hands-on technical leadership with strategic architecture oversight and people management.

You will embed AI/ML capabilities into core products, drive the full software lifecycle, and mentor engineering teams to deliver high-quality, secure, scalable software in a fast-paced environment.

Qualifications

• 10+ years of hands-on software development and leadership experience.
• Proven track record as a Team Lead or Tech Lead, managing end-to-end software projects.
• Strong domain experience in cybersecurity, IP telephony, and data networking, ideally in a project or technical management capacity.
• Released mobile/web applications experience (App Store, Play Store, or enterprise deployments).
• Proficiency in multiple programming languages: SQL, Python, Node.js, TypeScript, C#, Java, Swift, Objective-C, Java (Android); React Native, Flutter.

Responsibilities

• Establish and maintain robust processes and documentation across the Software Product Lifecycle.
• Oversee end-to-end application lifecycle from requirements to post-launch support.
• Design UI/UX, business logic, data access, APIs, and database schemas.
• Mentor engineers in testing, performance, and UI development.
• Deliver production-ready software with clear documentation and maintainability.
• Embed AI/ML capabilities into products and oversee AI strategy and execution.

Job description

IP-TRIBE (PRIVATE) LIMITED is seeking an experienced Software & AI Manager to lead the design, development, and deployment of software and AI-driven solutions in Singapore. The role blends hands-on technical leadership with strategic architecture oversight and people management.

You will embed AI/ML capabilities into core products, drive the full software lifecycle, and mentor engineering teams to deliver high-quality, secure, scalable software in a fast-paced environment.