Senior AI Software Engineer- Work Experience

About monday.com
monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you're empowered to shape how organizations work and outpace their competition.
About the team:
The Workspace & Layout team is part of the Work Experience group within monday.com's Human Agent Collaboration department. We own the core workspace product — the visual environment where users organize, navigate, and interact with everything inside monday.com — from layout and structure to the evolving workspace agent experience. We sit at the intersection of foundational infrastructure and end-user delight, shipping features that touch every monday.com customer.
About the role:
• 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 we scale multiple new product lines
• Take full ownership of features from design to implementation, deployment, and monitoring
• Partner closely with product and design 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
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:
• Hands-on experience building LLM flows and writing evals to validate model behavior — you know what "good" looks like and can measure it
• Experience with vector embeddings, RAG architectures
• Familiarity with product discovery, rapid prototyping, or startup environments

#LI-DNI