Senior AI Security Engineer

Location: Remote USA

Salary: $120,700–$156,900 per year, with potential bonus, commission, and equity eligibility.

Company

hirify.global develops products powered by AI systems, models, and pipelines.

What you will do

• Design, develop, and deploy security capabilities for AI and agentic AI systems.
• Perform threat modeling, security reviews, and vulnerability analysis across LLM applications, RAG systems, inference pipelines, and agentic workflows.
• Conduct manual and automated AI red team testing, document reproducible failure modes, and drive mitigations with engineering teams.
• Build AI security automation, evaluation harnesses, secure-by-default patterns, and least-privilege agent configurations.
• Define agent coordination, delegation, and escalation patterns and advise developers on AI security and privacy practices for MCP-enabled tooling.
• Support AI security incident response through triage, root-cause analysis, monitoring, traceability, and collaboration with defensive security teams.

Requirements

• 5+ years of experience in security engineering, application security, AI/ML engineering, or security architecture, including hands-on experience securing AI/ML or LLM-based systems.
• Ability to independently lead security reviews for complex AI systems and drive mitigation plans across engineering teams.
• Practical experience with prompt injection, insecure output handling, sensitive data exposure, excessive agency, model and data supply chain weaknesses, and unsafe retrieval or memory patterns.
• Advanced understanding of AI system behavior, model vulnerabilities, evaluation results, and security-relevant failure modes.
• Proficiency in Python or an equivalent language for security automation, evaluation scripts, test harnesses, and evidence collection.
• Working knowledge of model APIs, orchestration frameworks, vector databases, retrieval pipelines, agentic workflows, at least one major cloud platform, and AI security frameworks including OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and ISO/IEC 42001.

Nice to have

• Experience leading AI red team engagements, secure AI design reviews, or product security programs across multiple teams.
• Production experience deploying, integrating, or securing AI/ML systems in customer-facing environments.
• Experience with AI security tooling, model scanning, or custom evaluation harnesses.
• Background in cloud security, IAM, application security, data protection, logging and monitoring, incident response, or security operations.
• External contributions, presentations, or publications in AI security, adversarial AI, AI assurance, or secure AI engineering.

Culture & Benefits

• Full-time role with a remote USA work arrangement.
• Compensation may include participation in the hirify.global Bonus Plan, role-specific commission or bonus, and equity grants.
• Work is guided by teamwork, customer focus, integrity, speed, agility, transparency, and a growth mindset.
• Equivalent education, training, and relevant professional experience may substitute for a formal degree.