AI Engineer (Cloud Security)

Location: Tel Aviv, Israel

Company

hirify.global develops a cloud security platform that uses runtime context, eBPF-powered sensors, and agentless cloud discovery to protect cloud infrastructure from misconfigurations, malware, and other threats.

What you will do

• Build LLM-based agents that investigate, triage, and remediate cloud security threats.
• Prototype, evaluate, and productionize new models, techniques, and agent designs.
• Train, fine-tune, and assess ML models and LLMs using runtime events, cloud logs, identity data, and network activity.
• Develop internal AI platform services, data pipelines, evaluation systems, and observability.
• Collaborate with Security Research, Product, and Engineering teams to deliver autonomous security workflows.

Requirements

• 3+ years of experience building AI/ML systems in production, including LLM-based agents.
• Strong backend engineering skills and proficiency in Python.
• Experience training or fine-tuning ML models and LLMs.
• Strong understanding of prompting, context engineering, evaluation pipelines, LLM-as-judge, regression testing, and production monitoring.
• Ability to track AI research, define open problems, design rigorous experiments, and benchmark new techniques.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

Nice to have

• Background in cybersecurity, including cloud security, threat detection, or incident response.
• Hands-on experience with AWS, GCP, Azure, or Kubernetes.
• Research publications, open-source contributions, or other evidence of depth in AI.

Culture & Benefits

• Opportunity to work on a next-generation cloud security platform.
• Creative, research-oriented environment with room to explore new ideas.
• Collaboration across Security Research, Product, and Engineering.
• Focus on turning research into high-impact production features.