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Automation Engineer with AI

Lorven Technologies, Inc.New York, NY🇺🇸United StatesPosted 28 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
New York, NY, United States
Posted
19 hours ago
DockerSQLAirflowGitHub ActionsJenkinsLLMPython

Job Description

Hi ,

Our client is looking for an AI Security Automation Engineer for a project and below is the detailed requirement.

Job Title: Automation Engineer with AI 

Location: NYC, NY

Qualifications & Experience:

  • Bachelor’s degree in Computer Science, IT, Business, Engineering, or related field.
  • Strong experience in Python development and automation, including security scanners, orchestration, and API integrations.
  • Strong experience with GitHub, GitHub Actions, GitHub Advanced Security, and pull request workflows across multi-repository environments.
  • Hands-on experience with JFrog Artifactory / Xray and enterprise artifact management.
  • Experience with application security and vulnerability scanning tools such as Snyk, Xray, CodeQL, Dependabot, Trivy, or Semgrep.
  • Strong understanding of CVE/CVSS scoring, vulnerability management, EOL libraries, dependency risks, and software supply-chain security.
  • Experience building AI/LLM-driven remediation or agentic workflows that analyze security findings and generate automated code fixes.
  • Experience with prompt engineering and AI coding/remediation agents for code analysis, patch generation, and vulnerability resolution.
  • Strong experience integrating security automation into CI/CD pipelines using GitHub Actions or Jenkins.
  • Experience with Docker for isolated code-fix testing and Airflow/cron for workflow scheduling and orchestration.
  • Experience structuring security findings using JSON/SQL and building dashboards to track vulnerability coverage, remediation, and trends.
  • Strong understanding of application security fundamentals, including injection vulnerabilities, authentication flaws, SBOM, and supply-chain risks.
  • Experience with semantic versioning, dependency upgrades, regression testing, and automated validation before code merges.
  • Excellent communication skills with the ability to translate technical vulnerabilities into risk-based business updates, MTTR, exposure, and remediation metrics.

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