Senior Software Engineers - AI Products

We are looking for a Software Engineer to join our Engineering team and help build the next generation of AMCS products. In this role, you will design, develop, test, and support both SaaS applications and AI-powered solutions. Working as part of a small, autonomous delivery team, you'll contribute across the full software development lifecycle, building scalable features, APIs, user experiences, and AI agents that deliver real value to customers. This is an opportunity to work with modern engineering practices, cloud technologies, and AI development tools while helping shape products used by organizations around the world.

To help you make the move, we offer a ₱180,000 sign-on bonus plus a relocation bonus for successful candidates based outside Cebu. Join us and help build technology that makes a measurable impact.What You'll Do

• Design, build, and deliver SaaS product features across the full technology stack.

• Develop services, APIs, front-end applications, and supporting data models.

• Build AI agents that integrate with the AMCS Platform and AI framework.

• Write clean, maintainable, and well-tested code.

• Participate in code reviews and contribute to engineering best practices.

• Troubleshoot and resolve issues using logs, metrics, diagnostics, and AI-assisted tooling.

• Work within CI/CD pipelines to build, test, and release software safely and efficiently.

• Collaborate closely with Product Managers, Quality Engineers, and platform teams.

• Contribute to technical design discussions and architectural decisions.

• Support and mentor less experienced engineers where appropriate.

What We're Looking For

• Experience building and delivering production software applications.

• Strong proficiency in at least one modern backend language and framework, such as C#/.NET.

• Experience with modern front-end technologies such as Angular, React, or Vue.

• Good understanding of relational databases, SQL, and data modelling.

• Experience building and consuming APIs and services.

• Familiarity with cloud platforms and container-based deployments.

• Experience working with Git and CI/CD pipelines.

• Strong understanding of software testing practices including unit, integration, and automated testing.

• Experience integrating applications with platforms, frameworks, or extensibility models.

• Understanding of AI agents, assistants, and modern AI application patterns.