Senior Frontend Developer at Aspire Software leading AI-powered product discovery and user experience design. Collaborating with teams to build production-ready AI solutions in Lebanon.
Responsibilities
Lead product discovery for AI opportunities across new and existing products
Frame ambiguous problems into clear, AI-powered product concepts and demos
Design and build AI-first user experiences and workflows
Own interaction design for probabilistic, non-deterministic systems
Prototype rapidly, validate with users, and iterate based on evidence
Build frontend and application-layer components supporting AI features
Design conversational, assistive, and automated product experiences
Partner closely with AI and backend engineers on feasibility, constraints, and tradeoffs
Define reusable AI UX patterns, standards, and interaction models used across products
Requirements
Strong background in product design and frontend or application engineering
Proven ability to ship real production products, not just prototypes
Experience working on AI-powered or data-driven products
Strong discovery skills: user research, problem framing, hypothesis testing
Deep understanding of UX patterns for trust, feedback, and uncertainty
Comfortable moving fluidly between design tools and code
Strong systems thinking and product judgment
Ability to operate independently in early-stage, ambiguous environments
Experience leveraging AI coding IDEs and agents such as Cursor and Claude
Languages:** TypeScript and/or JavaScript
Frontend / App layer:** React, Next.js, or similar modern frameworks
State & data:** REST APIs, async workflows, familiarity with structured and unstructured data
Design tools:** Figma or equivalent (interactive prototyping, design systems)
AI integration:** Direct experience working with LLM APIs and AI-driven application flows
Collaboration:** Comfortable working in shared codebases with backend and AI engineers
Strong competency in prompt engineering, including:
Designing prompts as part of the user experience
Iterating on prompts based on real user behavior and failure modes
Experience contributing to AI evaluations to guide UX, prompt, and workflow changes
Strong intuition for how LLMs behave in real-world, production usage
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