AI Automation Engineer

Aspire Software

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.

• Experience in software development and automation engineering.
• Strong programming skills in at least one language such as: Python, JavaScript / TypeScript, Java, Go
• Experience building test automation frameworks.
• Experience working with CI/CD systems (e.g., GitHub Actions, GitLab CI, Jenkins).
• Familiarity with containerization technologies such as Docker.
• Understanding of software quality engineering principles.

Preferred Qualifications

• Experience integrating AI/LLM technologies into engineering workflows.
• Familiarity with agent orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel).
• Experience with cloud platforms (Azure).
• Knowledge of infrastructure as code (Terraform, Ansible, or similar).
• Experience with observability platforms (VictoriaMetrics, Grafana).

Key Competencies

• Automation mindset and systems thinking
• Strong debugging and problem-solving skills
• Ability to design scalable automation architectures
• Curiosity for emerging AI and developer productivity tools
• Cross-functional collaboration with engineering and operations teams

Example Deliverables

• An AI Automation Engineer may be responsible for building systems such as:
• AI-generated automated test suites
• Intelligent CI pipelines that adapt test execution based on code changes
• Agent-based incident investigation tools
• AI-assisted release validation pipelines
• Autonomous environment diagnostics