Internal AI Automation Lead - Anju

Aspire Software is looking for an Internal AI Automation Lead 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 Role:

Anju Software is seeking an entrepreneurial, technical, execution-oriented Internal AI Automation Lead to identify, design, and deploy workflow automations across the business with agentic AI. This role is focused on eliminating internal friction, reducing manual work, and increasing operating leverage across Sales, Professional Services, Internal Operations, Customer Support, Finance, and HR.

You will operate using modern AI tools and automation frameworks to ship functional, production-ready internal solutions that save time, reduce cost, and improve execution speed. You will be expected to ship working systems, not ideas.

Key Responsibilities

Workflow Discovery & Prioritization

• Embed with business teams to observe manual, repetitive, or high-friction processes
• Map end-to-end workflows and identify automation opportunities
• Quantify time, cost, and risk reduction potential

Rapid Automation Development

• Build internal tools using:
• Python, Node, or similar scripting languages
• LLM Coding Agents (Claude Code, Codex, ect)
• RAG frameworks (LangChain, vector DBs)
• Automation tools
• Integrate with internal systems (CRM, Jira, NetSuite, Teams, etc.)
• Deploy secure, production-grade internal automations

AI Application Design

• Translate messy operational tasks into structured automation logic
• Implement human-in-the-loop controls where required
• Ensure proper data handling and security where needed
• Maintain lightweight documentation for governance

Requirements

• 2+ years in software engineering, automation engineering, or technical operations

• Demonstrated ability to independently ship working automation projects
• Demonstrated ability to ship working agentic AI projects
• Experience building with LLM APIs and modern AI tooling
• Comfortable working across APIs and integrating disparate systems
• Strong understanding of data security and responsible AI use
• Highly self-directed; comfortable operating without detailed requirements

Bonus Experience:

• Experience in life sciences, healthcare, or regulated environments
• Familiarity with audit trails and validation constraints
• Exposure to SaaS operations (sales, implementation, support)
• Experience with BI tools and financial reporting systems