AI Engineer
Core
Design and build custom AI/agentic automation layers on top of GitLab's SAST/SCA capabilities to reduce triage effort, cut false positives, and speed up remediation.
Role type
Senior IC AI Engineer (Agentic Systems & AppSec Automation)
Builds
AI-assisted pipelines for vulnerability triage, false-positive scoring, and remediation suggestion generation
Domain
Application Security (AppSec) + Large Language Model (LLM) Engineering
Deliverable
production ML models
Required skills
LLM API integration (OpenAI/Anthropic), agentic workflow design, prompt engineering, software engineering for CI/CD pipelines, AppSec concepts (SAST/SCA/CVE), data governance controls
Preferred skills
Self-hosted/open-weight LLMs, DevSecOps tooling, LLM evaluation frameworks
Technologies
OpenAI API, Anthropic, GitLab API, webhooks, CI/CD hooks
Responsibilities
Design integrations to pull SAST/SCA findings into external AI pipelines; Build LLM-based triage for false-positive scoring and vulnerability explanations; Design multi-step agentic workflows for CVE correlation and remediation drafting; Own prompt engineering, evaluation, and guardrails including hallucination checks; Select LLM providers factoring in data residency constraints; Build feedback loops to improve agent accuracy over time
Seniority
Senior, hands-on IC