Senior Software Engineer (AI)

TL;DR

Senior Software Engineer (AI): Design, build, and operate production-grade AI agents for Orca’s cloud security platform with an accent on distributed, cloud-native services and microservices architecture. Focus on ensuring observability, reliability, and continuous improvement of AI systems in production through systematic evaluation and data-driven iteration.

Location: Tel Aviv

Company

hirify.global is a cybersecurity unicorn that pioneered agentless technology and provides a comprehensive cloud security platform.

What you will do

• Design and implement cloud-native, distributed services that power AI-driven security features.
• Build and maintain agentic AI systems that reason over large-scale cloud security data and interact with internal services.
• Own AI agents in production, including deployment, monitoring, troubleshooting, and performance optimization.
• Implement observability for AI systems, including metrics, logging, tracing, and alerting.
• Develop continuous evaluation pipelines for agentic solutions, including offline testing and regression detection.
• Design and optimize RAG pipelines that operate reliably over high-volume, high-variance security data.

Requirements

• 5+ years of professional software engineering experience building and operating production systems.
• Strong proficiency in Python & Typescript and experience designing backend services.
• Solid experience building cloud-native, distributed systems in a microservices architecture.
• Hands-on experience building, deploying, and maintaining AI systems in production.
• Proven hands-on experience building AI systems using LLM and agentic frameworks in production.
• Practical experience with agentic AI workflows, including tool use, multi-step reasoning, and orchestration.
• Experience implementing observability and monitoring for complex systems (metrics, logs, traces).
• Experience designing or working with evaluation frameworks for AI systems (quality, drift, latency, cost).

Nice to have

• Experience evaluating AI systems in high-stakes domains (security, reliability, correctness).
• Background in cloud security, cybersecurity, or large-scale SaaS platforms.
• Familiarity with RAG evaluation techniques, prompt versioning, and regression testing.
• Experience operating AI-enabled services at scale in AWS or similar cloud environments.

Culture & Benefits

• High-growth environment with rapid advancement of product capabilities.
• Opportunity to join a global cloud security innovation leader.
• Respectful and transparent culture where executives are accessible and knowledge is shared.
• Employees have a place in shaping the future of the industry.