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Senior AI Software Engineer- monday Services

Monday.com - Tel Aviv, Israel - In-office - posted 2026-08-25

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monday.com is an AI work platform used by 250,000+ customers to bring people, workflows, and AI agents together on one flexible platform. The monday Services team is expanding into new, AI-native product areas and is building new products from the ground up, combining startup velocity with monday.com's scale and engineering excellence. In this role, you will: - Build new AI-native products and features from 0→1, iterating rapidly based on user feedback - Work across the stack using modern technologies to create delightful user experiences - Lead and participate in architectural decisions as the team scales multiple new product lines - Take full ownership of features from design to implementation, deployment, and monitoring - Partner closely with product and design teams to shape user workflows and accelerate delivery - Drive engineering excellence, reliability, and performance across fast-moving codebases - Help define best practices for AI-powered product development at monday.com This is an opportunity to work on cutting-edge AI-native products within a growing, exceptionally talented engineering group that values ownership and rapid iteration. REQUIREMENTS: - 5+ years of professional software engineering experience with demonstrated strong technical skills building full-stack applications end-to-end - Deep knowledge of React (Next.js), Node.js, and TypeScript - Experience building features that integrate LLMs or other AI technologies (e.g., OpenAI, Gemini, Claude, Llama) - Experience with testing frameworks (Jest, Playwright, Cypress, etc.) - Experience working with cloud infrastructure (GCP/AWS), CI/CD, deployments, and monitoring - Familiarity with performance optimization and scalability across frontend and backend - Strong communication skills, team mindset, and empathy - Passion for creating user-centered products that customers rely on daily NICE-TO-HAVE: - Experience building AI-native products - Experience with vector embeddings, RAG architectures, or AI inference pipelines - Experience with real-time collaboration, WebSockets, or state-sync frameworks - Familiarity with product discovery, rapid prototyping, or startup environments

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