About the role

  • AI Automation Engineer designing and implementing AI-powered automation workflows in software development and testing. Collaborating cross-functionally to enhance engineering processes and automation efficiency.

Responsibilities

  • 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.
  • 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.
  • Build and maintain CI/CD pipelines to support automated build, test, and deployment workflows.
  • Automate infrastructure provisioning and environment setup using Infrastructure as Code.
  • 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.
  • Implement monitoring and observability for automation systems.
  • Use telemetry and metrics to improve system reliability and automation effectiveness.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent experience.
  • 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).

Job title

AI Automation Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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