AI Engineering Team Lead

Conifers.ai 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 where autonomous agents investigate real-world threats at a massive scale.

We’re looking for a hands-on AI Engineering Team Lead to drive the architecture and delivery of the core production systems powering these investigations.

You’ll lead a strong team while staying deep in the code, turning advanced AI concepts into reliable, scalable software used in the real world.

What You’ll Do :

• Lead and mentor a team of engineers building our AI-powered investigation platform, where autonomous agents analyze and respond to real-world security events
• Own end-to-end delivery of core systems from architecture and planning through production deployment and ongoing reliability
• Apply advanced LLM and agent-based AI techniques in production, translating cutting-edge approaches into robust, scalable features
• Stay hands-on with Python backend development, system design, and architectural decisions
• Design and evolve distributed, cloud-native services that operate reliably at scale
• Partner closely with Product, Design, and business stakeholders to turn complex needs into practical technical solutions
• Bring clarity, structure, and technical leadership to day-to-day execution in a fast-moving environment

What You'll Need :

• 5+ years of hands-on experience building backend or distributed production systems
• 2+ years leading engineers or technical teams, including architectural ownership
• Proven experience bringing AI/ML systems into real production environments (beyond research or POCs)
• Hands-on experience integrating LLM-based workflows, AI features, or autonomous agents into real systems
• Experience dealing with production challenges in AI systems (latency, reliability, monitoring)
• Strong experience designing and operating scalable, production-grade backend or distributed systems
• Strong proficiency in Python
• Deep understanding of distributed architectures and system design
• High ownership, strong product sense, and ability to thrive in fast-paced environments
• Professional fluency in English and Hebrew

Nice to have :

• Experience leading or mentoring engineers in a technical leadership or team lead role
• Experience working with AI agent frameworks, orchestration systems, or GenAI infrastructure
• Background in cybersecurity, threat detection, or security investigation systems
• Experience working in a startup or high-growth product company

Our Commitment 

We are an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

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