Full-Stack AI Engineer

ROYAL OCEAN MARINE ENTERPRISE PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

ROYAL OCEAN MARINE ENTERPRISE PTE. LTD. is seeking a software engineer to lead full-lifecycle product engineering and AI automation initiatives.

You will ship production-grade software across UI, API, and data layers, own features from discovery to deployment, and ensure production reliability. You will also build AI-assisted tools to streamline workflows and collaborate with a globally distributed team. Candidates should have a Computer Science degree (undergraduate or master's) and 1–2 years

Qualifications

• Background in software development with 1–2 years of hands-on commercial experience.
• Experience building AI-assisted tools and automation is a plus.

Responsibilities

• Map and analyze workflows to identify manual tasks.
• Architect, build and deploy AI-assisted tools for automation.
• Collaborate with internal stakeholders for onboarding and adoption of tools.

Education

Computer Science degree (undergraduate or master's)

Job description

Core Responsibilities

Workflow Optimization & AI Automation

• Map and analyze existing business workflows to isolate manual, high-friction tasks.
• Architect, build, and deploy custom AI-assisted tools that automate repetitive tasks and maximize team leverage.
• Work directly with internal stakeholders to drive seamless onboarding and real-world adoption of the tools you build.

Full-Lifecycle Product Engineering

• Ship production-grade software across the entire stack-from UI components to database schemas and API integrations.
• Own features from initial discovery and technical scoping through to deployment, monitoring, and iteration.
• Function as a product-minded engineer, actively proposing solutions and architectural improvements rather than waiting for ticket specs.

Production Quality & AI Ownership

• Utilize modern AI development tools (copilots, LLM APIs, synthetic workflows) as force multipliers while maintaining rigorous engineering standards.
• Review, test, and debug all AI-generated code to ensure long-term stability, security, and maintainability in production.
• Take full end-to-end accountability for system reliability, code performance, and data integrity.

Cross-Functional Collaboration

• Operate effectively within a globally distributed, asynchronous engineering team.
• Translate complex technical trade-offs into plain language for non-technical users and business leaders.

Background

• Computer Science degree (undergraduate or master's)
• Graduate level, ideally with 1-2 years of hands-on commercial experience

Chan Chee Meng 07C3069/R1110620