AI Security Engineer, 2027 New Grad

1 month ago

H1B sponsor

Responsibilities

Build internal security tools and automation, including linters, reusable workflows, bots, CLIs, and dashboards.
Use AI and LLMs to automate finding triage, fix generation, risk summaries, and remediation guidance.
Add automated security guardrails to CI/CD pipelines.
Detect and, where possible, automatically remediate issues in cloud and infrastructure configuration.
Translate machine-generated findings into actionable guidance for engineers.
Improve documentation and developer experience so secure workflows are easy to follow.
Participate in design reviews, code reviews, and architecture discussions.

Complete a bachelor’s or master’s degree in Computer Science, Engineering, or a related technical field in Spring 2027.
Demonstrate strong software engineering fundamentals through internships, research, coursework, or personal projects.
Write reliable code in Python, Go, Java, C++, Bash, or a similar language.
Have shipped a tool, script, service, or side project used by someone else.
Have hands-on LLM-building experience or eagerness to learn prompting, agents, evaluations, or AI-assisted developer tooling.
Understand the general path from code to production, including version control, CI/CD, containers, and cloud.
Show interest in system failure modes, prevention, and secure software development.
Preferred qualifications include developer tools, platform engineering, internal automation, AI/LLM APIs, agent frameworks, evaluation pipelines, Kubernetes, Docker, Terraform, GitHub Actions, AWS, GCP, Azure, or prior security exposure.

11-50 employees

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