AI Solution Builder / Engineer

Get AI-powered advice on this job and more exclusive features. Rapid Solution Building & Go-to-Market (GTM) Focus Lead Rapid Deployment : Own the speed-to-market for new solutions. Creatively use Firebase Studio (or similar rapid application development tools) to build and deploy functional MVPs in days to capture emerging business opportunities. Business-Driven Development : Work directly with the Head of Product to translate business goals (new apps, new revenue streams) into tangible, live products, ensuring every solution has a clear path to immediate value. End-to-End Ownership : Own the full lifecycle of prototypes, from ideation and design partnership to deployment and initial user testing. Technical Balance & AI Integration Best Practice Integration : While moving fast, intentionally maintain best practices for code structure, documentation, and API integration to ensure prototypes are easy to read and debug for future maintenance and scale. AI Value Creation : Integrate relevant AI and Machine Learning (ML) services (e.g., Google's Vertex AI, Firebase ML Kit, or internal Carsome models) into the applications to create intelligent, data-driven solutions for workflow automation and operational efficiency. API Integration : Work closely with the engineering teams to integrate prototypes with existing iCarAsia and Carsome platform APIs, ensuring robust data consumption and authentication. Design Partnership : Collaborate with designers to ensure MVPs are visually intuitive and adhere to a high standard of user experience (UX). Knowledge Transfer : Systematically document and transfer successful MVPs and established best practices to the core engineering team for production hardening and scaling. Skills & Qualifications Must-Haves Minimum 3+ years of experience in software development, solutions engineering, or a related technical role. Proven expertise in Firebase Studio (or strong equivalent experience with platforms like Retool, FlutterFlow, or similar low-code / no-code rapid development tools). Solid understanding of AI / ML concepts and practical experience integrating cloud-based AI services into applications. Experience in an Agile / Scrum environment, with a strong commitment to delivering iterative value. Nice-to-Haves Experience within the automotive, e-commerce, or classifieds industry. Familiarity with the Google Cloud Platform (GCP) ecosystem. Experience transitioning solutions from an MVP stage to a full-scale production environment. Seniority level Mid-Senior level Employment type Full-time Job function General Business, Management, and Business Development Industries Technology, Information and Internet

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