AI Native Full Stack Developer – AI/UX/LLM (HYBRID/MAKATI)
Summary
Builds AI-native digital products at the intersection of full-stack engineering and UX, integrating LLMs/Generative AI into user-facing features using Python and modern web stacks. Daily work involves AI API integration, designing for streaming/latency/fallbacks, and using AI-native tools like Cursor and Copilot in a cross-functional product team, on a hybrid basis in Makati.
Qualifications
5+ years of experience in Full Stack Development, Software Engineering, Product Engineering, or a related field.
Strong hands-on experience with UX/Product Design, Python and modern full-stack development.
Demonstrated experience building or integrating AI/ML-powered products or features; portfolio/project examples are required.
Experience working with LLMs, Generative AI, AI APIs, or AI-enabled applications.
Strong understanding of AI/LLM concepts, including tokens, context windows, temperature, prompt sensitivity, model limitations and hallucinations.
Hands-on experience using AI-native development and productivity tools such as Cursor, Claude, ChatGPT, GitHub Copilot, v0, or similar.
Experience designing and developing user-centric digital products, with a strong understanding of user flows, interaction design and usability.
Experience working in a cross-functional product team alongside engineers, product managers and/or designers.
Ability to design and develop AI experiences that address streaming outputs, latency, uncertainty, errors and fallback scenarios.
Bachelor's degree or equivalent practical experience in Computer Science, Software Engineering, Product Design, HCI, Interaction Design, or a related field.
Strong problem-solving, communication and collaboration skills.
Portfolio or project examples demonstrating at least one AI-integrated product or feature is required.
Nice to Have:
Experience with RAG, AI agents, conversational AI, chatbots or voice interfaces.
Experience with React, JavaScript/TypeScript, HTML and CSS.
Experience with AI/ML frameworks, vector databases or AI orchestration tools.
Experience with responsible AI principles, including transparency, user control and error recovery.
Experience with motion design, micro-interactions or design systems.