John Clements
AI Native Full Stack Developer – AI/UX/LLM (HYBRID/MAKATI)
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.
- Compensation
- Not disclosed
- Location
- Makati City, Metro Manila
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 5+ years of experience in Full Stack Development, Software Engineering, Product Engineering, or 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, with portfolio/project examples
- Experience working with LLMs, Generative AI, AI APIs, or AI-enabled applications
- Strong understanding of AI/LLM concepts (tokens, context windows, temperature, prompt sensitivity, model limitations, hallucinations)
- Hands-on experience with AI-native development and productivity tools such as Cursor, Claude, ChatGPT, GitHub Copilot, v0, or similar
- Experience designing user-centric digital products with 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 AI experiences addressing 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 related field
- Strong problem-solving, communication, and collaboration skills
- Portfolio or project examples demonstrating at least one AI-integrated product or feature
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
Full description
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.