Elementor AI Engineering Team Leader 

Israel, Tel Aviv District 

953136104

In this role, you'll combine technical leadership with strategic vision to build and mentor a high-performing AI engineering team. You'll oversee the exploration and integration of cutting-edge AI technologies while ensuring engineering excellence and product impact. Your leadership will shape not only the technical architecture but also the team culture and development practices that drive our AI innovation forward.

• Build, lead, and mentor a team of AI and full-stack engineers
• Shape and execute our AI product strategy and technical roadmap
• Drive engineering excellence through best practices, code reviews, and architectural decisions
• Work closely with product, design, and other engineering teams to deliver cohesive AI solutions
• Establish technical standards and development processes for AI features
• Manage project planning, sprint execution, and technical debt
• Foster a culture of learning, experimentation, and continuous improvement
• Collaborate with senior leadership on strategic technical decisions
• Ensure operational excellence of AI systems in production

Leadership & Management:

• 3+ years of engineering team leadership experience
• Proven track record of building and scaling high-performing engineering teams
• Experience managing technical projects from conception to production
• Strong communication skills with the ability to bridge technical and business stakeholders
• Managing stakeholder expectations and technical trade-offs
• Making strategic technical decisions that align with product goals
• Track record of successful cross-functional collaboration

Technical Expertise:

• 7+ years of software engineering experience, with a significant focus on:
• Building and deploying production AI systems
• Building scalable web applications using modern Node.js and React ecosystems
• Cloud infrastructure and microservices architecture
• Code quality and engineering best practices
• Production monitoring and incident management

Deep understanding of:

• LLM platforms and AI service integration
• Advanced prompt engineering and LLM optimization
• RAG systems and vector databases
• AI development and best practices with leading LLM platforms (OpenAI, Anthropic, etc.)
• System design and technical architecture
• Performance optimization and cost management

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