AI Security Engineer(Agentic AI)

Key Responsibilities:

• Monitor and operate AI security platform day to day, following established procedures for routine alerts, access requests, and configuration changes
• Triage first-level alerts from the AI security platform, such as suspected prompt injection, policy violations, or unusual model output, and escalate complex or ambiguous cases to Clients onshore senior engineers
• Support onboarding of new AI applications, teams, and user groups to the platform, following existing checklists and procedures under guidance from senior engineers
• Assist in building and maintaining simple automation scripts in Python for vulnerability triage, log review, and reporting tasks
• Help maintain security documentation and evidence artifacts produced by AI security workflows
• Monitor deployed AI agents and platform dashboards for drift, anomalies, or degraded performance, escalating findings as needed
• Partner with security operations and engineering teams to document manual processes that may be suitable for future automation
• Participate in daily handoff and standup meetings with the onshore team to report status, escalate open items, and align on priorities
• Participate in team knowledge-sharing sessions on agentic AI security, contributing lessons learned from daily operations

Additional Qualifications:

Required:

• 2+ years of experience in security engineering, security operations, IT, or a related technical field
• Basic proficiency in Python, with the ability to read, modify, and troubleshoot existing scripts
• Working familiarity with REST APIs and Git
• Exposure to at least one major cloud provider (AWS, GCP, or Azure)
• Familiarity with ticketing and security tooling ecosystems (e.g., Jira, Splunk) sufficient to log and track findings
• General awareness of prompt design and LLM-based tools (e.g., Claude, ChatGPT)
• Clear written communication skills and the discipline to follow documented procedures accurately

Preferred:

• Coursework, internship, or project experience involving AI/ML, LLMs, or security automation
• Exposure to Claude Code or similar agentic coding tools, including in a personal or academic context
• Familiarity with basic AI/LLM security concepts, such as prompt injection or jailbreaking
• Interest in security automation platforms (SOAR, n8n, Tines, or similar)
• Prior experience supporting a distributed or offshore security operations model with formal handoff processes

Measures of Success:

• Alerts and tickets triaged within agreed service-level targets, with accurate escalation of complex or ambiguous cases
• Consistent, accurate documentation of triage decisions and rationale, sufficient to support an audit trail
• Reliable execution of daily handoff and standup routines with the onshore team, with no missed escalations
• Growing independent judgment on routine cases over the course of the engagement, reducing reliance on senior escalation over time
• Positive feedback from onshore senior engineers on responsiveness, communication, and adherence to established procedures