Top Tech Jobs & Startup Jobs in Singapore

Build and ship Android and/or iOS features for an AI Neobank app. Implement mobile flows for insurance, payments and financial services, integrate APIs, handle edge cases, improve performance and reliability, and collaborate with product, design and backend teams to deliver production-quality mobile experiences.

Design elegant, high-performing mobile interfaces for iOS and Android. Produce wireframes, flows, prototypes, and production-ready UI; build and maintain design systems; collaborate with engineers to ensure pixel-perfect, accessible, and responsive implementations; iterate using analytics and user feedback.

Design end-to-end mobile and web product experiences for financial products. Create user flows, wireframes, prototypes and polished interfaces; build and maintain design systems and reusable UI components; collaborate with product managers and engineers to ensure accurate implementation; iterate using product data and user feedback to improve usability, accessibility and consistency across platforms.

Design polished mobile and web interfaces for BJAK's AI and financial products. Create wireframes, user flows, prototypes and high-fidelity UI; maintain and evolve the design system; collaborate with product and engineering for pixel-perfect implementation; iterate using user feedback and analytics while ensuring accessibility and consistency.

Lead technical product development for AI-powered assistant systems: define end-to-end requirements, translate model capabilities into product decisions, drive trade-offs across quality/latency/cost/reliability, design evaluation frameworks, work closely with ML/backend/mobile engineers, and own product quality, predictability, and user trust.

Lead application engineering across backend, mobile, and desktop to turn ML capabilities into reliable, low-latency user experiences. Set architecture, integrate AI with predictable behavior and graceful failures, ensure production readiness (observability, retries, fallbacks, privacy, cost controls), grow a small senior team, and balance rapid shipping with long-term system quality.

Lead A1's research and intelligence direction, defining architectures, evaluation frameworks, alignment and safety, and guiding exploration of frontier techniques (retrieval-augmented training, MoE, distillation, multi-agent orchestration, multimodal). Partner closely with product and engineering to deliver reliable, long-running, context-rich AI features and set technical standards across the organization.

Lead architecture and hands-on engineering for backend, mobile, and desktop applications that integrate AI systems. Own reliability, APIs, observability, failure handling, and platform integrations. Grow and mentor a small senior applications team, partner with ML leadership to translate models into product features, and drive decisions balancing latency, cost, security, and user experience.

Own end-to-end ML systems: data, training, evaluation, inference, and deployment for production-grade LLMs. Build scalable training and inference pipelines, optimize GPU performance and memory, maintain evaluation and safety tooling, and collaborate with application engineers to integrate models into products while balancing latency, cost, and reliability.

Lead the research direction for A1's AI system focusing on context representation, reasoning, planning, and orchestration. Decide on model architectures and evaluation frameworks while ensuring safety and alignment. Guide exploration of advanced techniques and shape product intelligence. Requires deep machine learning experience and a founder-like mentality.