Job description
Aspire Software is looking for a AI Engineer to join our team in Lebanon.
Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.
By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.
About the job: You'll be a force multiplier on our product team.
You won't just write code — you'll wield AI tools to compress every stage of development, from architecture and prototyping to testing, refactoring, and shipping.
We want someone who has actually built and shipped real products using AI-augmented workflows, not someone who's only experimented with them.
If you've used Claude Code, Cursor, Copilot, v0, Replit, or similar tools to take features from idea to production at speeds that would have been impossible two years ago, we want to talk to you.
What You'll Do Drive AI-accelerated development across the marketplace modernization initiative Build prototypes and production features in days that previously took weeks Establish AI-augmented workflows (codegen, code review, test generation, documentation) for the broader team Architect and implement features across the stack — frontend, backend, search, and data Partner closely with design and product on rapid iteration cycles Evaluate and integrate AI capabilities into the product itself (search, recommendations, listing intelligence, content moderation) Contribute to foundational technical decisions on the new platform 5+ years of experience Real, demonstrable experience using AI tools to ship production code — not side experiments Examples of products or features where AI tooling was core to the velocity and the outcome Strong fundamentals in modern web development: TypeScript/JavaScript, a modern framework (Next.
js, React), and solid backend experience Comfort working across the stack and pragmatic judgment about where to spend depth versus where to move fast Systems thinking — marketplaces, search, listings, trust signals, and transactional flows Nice to have Experience modernizing legacy platforms or migrating off older stacks B2B SaaS or marketplace background Familiarity with the jewelry, luxury, or trading industries Experience with iOS & Android mobile solutions Experience integrating LLM features (RAG, agents, structured extraction) into production apps Background working in small high-velocity teams
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