Job Opportunities API

Conifers is transforming security operations centers (SOCs) with CognitiveSOC™ , its AI SOC platform, enabling enterprises and MSSPs to achieve SOC excellence. By leveraging agentic AI, Conifers helps security teams investigate complex, multi-tier incidents with speed, accuracy, and trust.  Led by seasoned cybersecurity leaders and backed by SYN Ventures, PICUS Capital, and others, the company brings deep industry knowledge and innovation to an increasingly AI-driven threat landscape. We’re building an AI-native security platform that enables autonomous agents to investigate real-world threats at a massive scale.   We’re looking for a hands-on AI Engineering Team Lead to define the technical direction, architecture, and engineering foundations behind agentic AI systems designed to solve complex cybersecurity investigation challenges . You’ll shape how autonomous agents reason through security events, use tools, evaluate findings, interact with real security data, and operate reliably at scale. This is not an LLM integration role; it’s about architecting production-grade systems at the intersection of Python backend engineering, distributed architecture, agent orchestration, evaluations, and cybersecurity. You’ll lead a strong team while staying deep in the code, owning the architectural decisions and technical foundations that enable AI agents to investigate and respond to real-world threats.   What You’ll Do   : Lead the architecture and development of production-grade AI agent systems that investigate real-world security events Build the core infrastructure powering agent workflows, tool-calling, reasoning flows, evaluations, and system orchestration Own complex engineering problems around reliability, latency, observability, scale, and production quality Stay hands-on with Python backend development, system design, and technical decision-making Design distributed, cloud-native services that support AI-driven investigations at scale Translate ambiguous AI/product/security challenges into clear technical solutions and executable engineering plans Mentor and lead a strong team of engineers while setting a high technical bar Partner closely with Product, Security, Design, and business stakeholders to turn real customer problems into robust AI-powered capabilities Continuously improve how agents are tested, evaluated, monitored, and trusted in production environments   What You'll Need : 5+ years of experience in software engineering,  backend development , or  AI/ML systems Experience leading engineers, mentoring developers, or taking technical ownership of complex projects Hands-on experience building scalable backend systems or distributed architectures Experience building or integrating AI/ML capabilities into production systems Familiarity with LLMs, GenAI technologies, or modern AI frameworks Experience working with production environments  (performance, reliability, monitoring) Strong programming skills ( Python preferred ) Experience designing scalable system architectures and technical solutions Experience working in fast-paced startups or high-growth environments - advantage Professional fluency in English and Hebrew   Nice to have : Experience with AI agents, agent orchestration, tool-calling, reasoning workflows, or evaluation frameworks Experience building GenAI infrastructure, LLM platforms, RAG systems, or AI runtime environments Background in cybersecurity, SOC, threat detection, incident response, or secur