Senior Software Engineer (AI Security)

TL;DR

Senior Software Engineer (AI Security): Develop and ship agentic AI-powered security features and secure orchestration frameworks to protect users and enable safe AI delegation across devices and platforms with an accent on AI security, threat defense, and privacy. Focus on designing and building scalable AI-powered defenses, secure orchestration, and collaborating across teams to ensure safe and responsible AI operation.

Location: New York, United States, onsite with expectation to work from office at least four days a week if within 50 miles

Salary: $119,800–$258,000 per year

Company

hirify.global is focused on delivering trusted, human-centered AI experiences with a mission to empower every person and organization globally.

What you will do

• Develop agentic AI-powered security features to protect users from threats like prompt injection and adversarial manipulation.
• Implement secure orchestration frameworks enabling safe delegation and coordination across devices and platforms.
• Invent intelligent agents applying information flow analysis and security/privacy guardrails.
• Collaborate with product, engineering, security, privacy, and AI teams to adopt security best practices.
• Monitor security metrics and use data-driven insights to improve defenses and enablement.
• Document secure AI patterns addressing novel risks and enabling responsible orchestration.

Requirements

• Location: Must be based in or near New York with onsite work expectation
• Bachelor’s degree in Computer Science or related field with 4+ years engineering experience in languages like C, C++, C#, Java, JavaScript, or Python.
• Experience building large-scale, security-critical or AI-powered systems, including agentic AI and secure orchestration.
• Ability to explain complex security and AI concepts to technical and non-technical stakeholders.
• Experience with distributed training frameworks, containerization (Docker, Kubernetes), and ML lifecycle management.
• Familiarity with Azure AI services and Microsoft security platforms.

Nice to have

• Experience with agentic AI development frameworks like LangGraph or Amazon Strands SDK.
• Experience designing evaluation frameworks for LLM applications and AI safety methodologies.
• Mentoring experience and driving adoption of standards and best practices.

Culture & Benefits

• Inclusive culture valuing respect, integrity, and accountability.
• Growth mindset and collaboration to empower others.
• Comprehensive benefits and compensation packages.
• Expectation to work onsite with flexibility subject to local laws.