Top Tech Jobs & Startup Jobs in Singapore

Build and ship customer-facing mobile features across Android, iOS or cross-platform for onboarding, accounts, payments, cards, transfers, rewards, FX and AI-assisted flows. Own end-to-end product-to-release delivery, collaborate with backend/design/product/AI teams, monitor analytics and crashes, and improve UX, reliability and performance.

Build and ship native Android features in Kotlin for an AI-enabled neobank. Design clean user flows for financial services, integrate backend APIs, improve performance and reliability, use analytics to iterate, and add on-device AI where it improves UX.

Build and ship native Android features (onboarding, accounts, cards, payments, transfers, rewards, AI-assisted journeys). Turn complex financial flows into simple, fast mobile experiences. Collaborate with product, design, backend and AI engineers. Own app quality (performance, crashes, loading states, edge cases) and iterate using production feedback and analytics. Integrate APIs, authentication and secure data handling with strong reliability focus.

Build and ship native iOS features for onboarding, accounts, cards, payments, transfers, rewards and AI-assisted journeys. Collaborate across product, design, backend and AI teams, own app quality, integrate secure APIs and debugging, and iterate using analytics and production feedback.

Integrate security into software delivery and infrastructure workflows across AWS and GCP. Build scanning into CI/CD pipelines, maintain security guardrails, secure containerized workloads, implement least-privilege access and secrets management, and support compliance with SC TRM and BNM RMiT. Improve monitoring, vulnerability reporting, incident readiness, and secure delivery practices while collaborating with platform and engineering teams using multiple programming languages.

Lead execution of end-to-end ML systems: data pipelines, training workflows, evaluation, and inference. Translate research into production by fine-tuning large models (LoRA/QLoRA/SFT/DPO/distillation), designing scalable GPU inference, ensuring memory/latency optimization, building evaluation for performance/robustness/safety, and integrating ML into backend and client products while operating under real-world constraints.

Lead production-grade ML systems: build and operate end-to-end ML pipelines, fine-tune large models (LoRA/QLoRA/SFT/DPO/distillation), design scalable inference, ensure GPU optimization, implement evaluation for performance/robustness/safety, and collaborate with product and application teams to ship reliable, low-latency AI features.

Work directly with leadership to drive high-priority, cross-functional initiatives across engineering, product, hiring, operations, and BD. Research markets, build teams and processes, lead projects from planning through execution, and deliver measurable business outcomes in a fast-moving environment.

Support the CEO by turning priorities into execution across product, hiring, licensing, partnerships and market launches. Track OKRs, decisions, blockers, prepare briefs and updates, coordinate cross-functional teams, identify execution gaps, and own urgent cross-departmental problems.

Lead and execute high-priority cross-functional initiatives across engineering, product, hiring, operations, and business development. Build teams, processes, and capabilities; research new markets and products; identify operational problems and implement practical solutions; manage projects end-to-end and deliver measurable business outcomes while communicating with stakeholders.