HiringCafe
Posted 1mo ago

AI Automation Engineer - VCTS

@ Valsoft
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Beirut, Beirut Governorate, Lebanon
HybridFull Time
Responsibilities:Design automation, Develop tests, Integrate pipelines
Requirements Summary:Bachelor's or equivalent; software development and automation experience; strong programming in Python/JavaScript/TypeScript/Java/Go; CI/CD; Docker; QA principles.
Technical Tools Mentioned:Python, JavaScript, TypeScript, Java, Go, GitHub Actions, GitLab CI, Jenkins, Docker, Terraform, Ansible, VictoriaMetrics, Grafana, LangChain, AutoGen, CrewAI, Semantic Kernel, Azure
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Job Description

Aspire Software is looking for a 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 theAI-Driven Automation

  • Design and implement AI-powered automation workflows for development, testing, and operations.
  • Develop and maintain AI-assisted testing systems, including test generation, failure analysis, and intelligent test selection.
  • Build and orchestrate agent-based automation tools for operational and engineering tasks.

Test Automation & Quality Engineering

  • Develop and maintain automated test frameworks for APIs, services, and user interfaces.
  • Integrate automated testing into CI/CD pipelines.
  • Implement quality gates and automated validation across the software delivery pipeline.
  • Analyze test results and production telemetry to continuously improve test coverage.

DevOps & Infrastructure Automation

  • Build and maintain CI/CD pipelines to support automated build, test, and deployment workflows.
  • Automate infrastructure provisioning and environment setup using Infrastructure as Code.

AI Tooling Integration

Integrate LLM-based tools into developer workflows for:

  • automated code review
  • test case generation
  • incident diagnostics
  • documentation generation
  • Evaluate and adopt emerging AI automation platforms and frameworks.

Observability & Reliability

  • Implement monitoring and observability for automation systems.
  • Use telemetry and metrics to improve system reliability and automation effectiveness.