AI Security Engineer

Location: Hybrid in Denver, CO, with at least 3 days per week in the office

Salary: $150,000–$178,000 USD base salary, plus eligibility for a company bonus plan

Company

hirify.global develops legal technology and AI-powered software used by law firms and legal professionals worldwide.

What you will do

• Secure AI-enabled products, internal AI tools, and agentic AI infrastructure across the AI lifecycle.
• Identify and mitigate AI-specific threats, including prompt injection, jailbreaking, insecure outputs, RAG poisoning, model abuse, data leakage, and indirect context manipulation.
• Secure LLM-connected applications, MCP integrations, agent workflows, tool-call authorization boundaries, and SaaS application interconnections.
• Build and maintain AI security controls, testing pipelines, detection logic, playbooks, and documentation.
• Extend identity governance and secrets management to AI agents and other non-human identities.
• Support AI governance activities, customer security reviews, audits, due diligence requests, and security-related sales discussions.

Requirements

• 3–6 years of cybersecurity experience, including 1–2 years focused on AI/ML security, application security, or a related area.
• Knowledge of LLM security risks and mitigations, including OWASP LLM Top 10 concepts.
• Experience with threat modeling, SAST/DAST, API security, secrets management, secure SDLC practices, and CI/CD pipeline security.
• Technical proficiency with scripting, automation, security tooling, LangChain, RAG pipelines, vector databases, Azure OpenAI, Amazon Bedrock, or similar technologies.
• Experience securing Azure and/or AWS environments, including IAM, network segmentation, containers, Kubernetes, infrastructure-as-code scanning, and cloud-hosted AI workloads.
• Strong communication and analytical skills, with the ability to explain AI security risks and drive remediation independently.

Nice to have

• Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, or a related field, or equivalent professional experience.
• AI red teaming, adversarial ML testing, AI bug bounty, or AI security research experience.
• Familiarity with ISO 42001, NIST AI RMF, the EU AI Act, SOC 2 Type II, or ISO 27001.
• Experience with B2B SaaS, legal technology, regulated professional services, enterprise security reviews, RFPs, or due diligence questionnaires.

Culture & Benefits

• Collaborative work environment focused on integrity and mutual support.
• Opportunity to work with teams around the world on AI and legal technology challenges.
• Career development through stretch opportunities, visibility, and meaningful impact.
• Medical, dental, and vision coverage, plus a 401(k) with company match.
• Incentive and recognition programs.