DescriptionAspire Software is looking for an 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 JobThe AI Automation Engineer is responsible for designing, deploying and improving AI agents and agentic workflows that automate routine operational work, augment teams, and improve speed, quality and scalability across the business.
This role is not about building disconnected experiments. It is about delivering real workflow change in priority areas, initially focused on Support, Sales, Professional Services and internal operational workflows. The role works closely with functional leaders and frontline teams to identify high value use cases, redesign workflows, deploy safe and useful agents, and ensure adoption in day-to-day operations.
The AI Automation Engineer helps shift repetitive, rules based and data intensive work to AI agents, while preserving human ownership of judgment, sensitive customer interactions, escalations, quality assurance, exception handling and continuous knowledge improvement.
About The JobThis position sits within our New Products division, building new products on a modern technology stack.
Our engineering teams are organized as functional pods: small groups that own a product end to end, from data model through to release, with no dependency on a separate team to deploy. This structure requires engineers who work confidently across the full stack, exercise independent judgment without detailed specifications, and deliver at pace.
Key responsibilities
AI-Native EngineeringThis position assumes fluency with Al in two respects. Building with Al: demonstrated experience delivering features on LLM APIs, including prompt design, structured output, evaluation of output quality, cost management at scale, and judgment about when a model is not the appropriate solution.
Developing with Al: established use of tools such as Claude Code or Cursor in your standard workflow, with sound judgment about what to delegate, what requires verification, and where these tools produce inaccurate results.
Requirements
Preferred Qualifications
Working environment
