AI Automation Engineer

Description

Aspire Software is looking for an AI Automation 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

Cross-Functional AI Deployment: Collaborate with Sales, Marketing, and Operations to identify manual processes that can be enhanced by AI (e.g., lead enrichment, sentiment analysis, or automated reporting).
Workflow Automation: Design and manage complex automated workflows using Zapier, Make, or Power Automate to connect disparate tools with AI engines (OpenAI, Anthropic, etc.).
CRM Enhancement: Implement AI-driven features within Dynamics 365 for Sales to improve data hygiene and sales team productivity.
Custom Prompt Engineering: Develop and refine high-quality prompts and "GPT" style agents tailored to specific departmental needs.
Tool Evaluation: Research and pilot emerging AI tools to determine their feasibility and ROI for our specific business use cases.

Requirements

• Experience: 2 years of experience in technical roles such as Integration Engineering, Solutions Architecture, or Systems Automation.
• Automation Mastery: Proven experience building multi-step "Zaps" or similar automated workflows that incorporate logic and data transformation.
• CRM Familiarity: Strong functional understanding of Dynamics 365 (or a similar enterprise CRM) and how it handles data objects.
• Technical Literacy:
  • Strong understanding of REST APIs, Webhooks, and JSON.
  • Basic proficiency in a scripting language (e.g., Python or JavaScript) for handling custom code steps in automation tools.
  • Experience with Prompt Engineering and working with LLM APIs.
  • Experience with low-code/no-code platforms beyond just automation (e.g., Power Apps or Zapier).
  • Familiarity with data privacy best practices regarding AI and cloud-based automation.