Senior Software Engineer - AI at Orcasecurity

Orcasecurity

Tel Aviv-Yafo, Tel Aviv District, Israel·3h ago

SeniorFull-timeTypeScriptPythonRustAWSMicroservicesAI

Salary Range

$103,428 - $139,932 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Senior Software Engineer - AI to join Orca's R&D team and contribute to the future of cloud security. This role involves designing, building, and owning production-grade AI agents that operate at the core of Orca’s cloud security platform.

Key Responsibilities

→Design and implement cloud-native, distributed services that power Orca’s AI-driven security features
→Build and maintain agentic AI systems that reason over large-scale cloud security data and interact with multiple 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 for agent behavior, quality, latency, and cost
→Develop continuous evaluation pipelines for agentic solutions, including offline testing, regression detection, and production feedback loops
→Design and optimize RAG pipelines that operate reliably over high-volume, high-variance security data
→Apply strong software engineering practices: clear APIs, clean abstractions, robust error handling, and scalable data flows
→Lead services end to end - from design and implementation to deployment and long-term operation
→Collaborate closely with Data Platform, Product, and Security Research teams to ensure AI behavior is correct, explainable, and trustworthy

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)
✓Ability to reason about tradeoffs and continuously improve systems based on real-world data