Top Tech Jobs & Startup Jobs in Singapore

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.

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 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.

Build and maintain cross-platform Electron desktop apps focusing on reliability, performance, and real-time behavior. Implement desktop features (file access, notifications, auto-updates), integrate AI-powered backend services, optimize startup/memory, manage large local state, and ensure stability across macOS and Windows.

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.

Support end-to-end recruiting for product, engineering, and business roles. Source and screen candidates, coordinate interviews, maintain ATS records, assist with offers, and support recruiting projects and process improvements to keep hiring operations organized and responsive.

Work cross-functionally to drive high-priority initiatives across engineering, product, hiring, operations, and BD. Lead projects from planning through execution, build teams and processes, research markets and opportunities, improve operations, and deliver measurable business outcomes.

Hands-on technical leader who designs, implements, and operates scalable backend/frontend systems and infrastructure. Owns architecture decisions, mentors engineers, reviews code, debugs production issues, and drives major product initiatives from idea to reliable production.

Lead technical design and delivery of core products across backend, frontend, APIs, databases and infrastructure. Hands-on coding, system design, code reviews, production debugging, mentorship, and driving engineering initiatives. Ensure reliability, observability, security, and scalable architectures while collaborating with product, design and AI teams to ship high-quality features.

Lead and manage a cross-functional engineering team to deliver scalable, reliable products for millions of users. Own technical architecture, code quality, observability, incidents and production outcomes while coaching engineers, improving processes, and collaborating with product, design, mobile, backend and AI teams to turn ambiguous problems into shipped solutions.