G08 - Low Code Engineer

Responsibilities

AI-Assisted Development (Vibe Coding)

• Use AI-assisted tools (e.g. Claude, Cursor, Lovable, Figma Make) to rapidly build prototypes and working solutions
• Refine AI-generated outputs to improve structure, logic, and reliability for real-world use
• Apply judgement on when to prototype, configure, or fully engineer solutions
• Review AI-generated code for quality, security, and production readiness
• Guide stakeholders on transitioning from prototype to production-grade solutions

Low-Code / No-Code Development

• Design and configure workflows, forms, and applications using low-code/no-code platforms
• Translate business use cases into functional implementations (e.g. approvals, automation flows)
• Configure data models, business rules, and process logic
• Ensure solutions are scalable, maintainable, and aligned with platform best practices

SaaS Product Configuration

• Configure SaaS and platforms to support business use cases
• Set up objects, permissions, workflows, and automation rules
• Implement solution designs from discovery and solutioning phases
• Advise stakeholders on maximising existing platforms before custom development
• Ensure alignment with platform constraints, best practices

Integration & Backend Implementation

• Implement integrations using APIs, webhooks, and connectors
• Map and manage end-to-end data flows across systems
• Handle data mapping and basic transformation logic
• Identify and flag integration or backend risks
• Provide input on system design, data flow, and architecture considerations

Prototype-to-Production Enablement

• Support the transition of prototypes into production-ready solutions
• Identify gaps in security, data handling, and integration robustness
• Advise on solution structure, modularisation, and maintainability
• Enable teams to independently build and manage solutions over time

Workshops & Technical Enablement

• Support workshops, hackathons, and prototyping sessions
• Troubleshoot issues and guide teams in real time
• Provide technical support across AI, low-code, and SaaS solutions
• Promote best practices for scaling beyond prototype stage

Reuse & Best Practices

• Apply reusable patterns and templates across projects
• Avoid over-engineering and focus on fit-for-purpose solutions
• Document configurations and approaches for reuse
• Contribute to internal knowledge base and capability building

Requirements

• 3–6 years of experience in low-code development, SaaS configuration, or application implementation
• Hands-on experience with AI-assisted development tools (e.g. Claude, Cursor, Lovable, Figma Make)
• Experience building workflows, forms, and automation using low-code/no-code platforms
• Experience configuring enterprise SaaS or GovTech platforms
• Strong understanding of application architecture, data flows, and integrations
• Experience working with APIs, webhooks, and system integrations
• Able to work in fast-paced environments and deliver under tight timelines

Nice to Have

• Experience with platforms such as ServiceNow App Engine or Microsoft Power Platform
• Experience in prototyping, POCs, or rapid development environments
• Exposure to public sector or enterprise-scale systems
• Familiarity with Singapore GovTech ecosystem

Key Attributes

• Hands-on and execution-focused mindset
• Strong judgement across AI, low-code, and full engineering approaches
• Able to critically evaluate AI-generated outputs
• Pragmatic and avoids over-engineering
• Comfortable working with ambiguity and evolving requirements
• Able to support live sessions and troubleshoot on the spot