AI Engineer
Join a lean, founder-led engineering team building production AI systems for cybersecurity environments. You will develop autonomous agent infrastructure, integrate tools and target environments, and take systems from prototype through deployment and operation. The role is on-site in Tel Aviv and is
Responsibilities
- Build agent execution systems and tool integrations for cybersecurity workflows and target environments.
- Develop evaluation and observability infrastructure to measure agent behavior, investigate failures, and improve system quality.
- Create backend services, APIs, data pipelines, and internal tooling as product usage and complexity grow.
- Develop reliable autonomous workflows and debug issues across the stack.
- Make architecture decisions across prototyping, hardening, and production operation.
- Collaborate with founders, AI researchers, and security specialists on ambiguous technical problems.
Requirements
- Hands-on cybersecurity experience with the ability to explain systems, problems, and technical decisions you personally handled.
- Experience shipping AI-powered software such as agents, LLM integrations, inference systems, or AI evaluation infrastructure beyond a standalone demo.
- End-to-end ownership of production software, including scoping, implementation, deployment, debugging, and iteration.
- Strong software engineering fundamentals and willingness to investigate failures beneath framework abstractions.
- Practical judgment balancing speed, reliability, maintainability, and cost, supported by implemented and evaluated tradeoffs.
- High agency, clear prioritization, and concise communication.
Nice to have
- Experience at a pre-seed through Series B startup or in a comparable founder, early-engineer, or resource-constrained environment.
- Depth in backend engineering, distributed systems, infrastructure, developer tooling, or low-level systems.
- Substantial independent projects or open-source work demonstrating technical curiosity and initiative.