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At monday.com, we’re building the AI work platform that helps teams automate, execute, and scale their work end-to-end. With over $1B in ARR, 250,000+ customers worldwide, and a culture built on ownership and impact, we’re constantly reimagining how work gets done. Our RevAI organization is on a mission to reinvent how revenue teams operate by embedding AI into every part of the customer journey. We don’t just automate existing processes - we rethink them from first principles and build entirely new ways of working. A core part of this mission is developing deep expertise in building AI agents and agentic systems that can reason, collaborate, and drive meaningful business outcomes across the GTM organization. We’re looking for an exceptional AI Software Engineer to help lead this transformation.
Job Responsibility
Design and build AI-powered products, agents, and workflows that drive measurable business outcomes across the GTM organization
Own initiatives from idea to production, including discovery, architecture, implementation, deployment, and continuous improvement
Evaluate emerging AI technologies and rapidly translate them into practical business applications
Develop scalable systems leveraging LLMs, agent frameworks, orchestration platforms, APIs, and modern software engineering practices
Partner closely with stakeholders across Sales, Marketing, Customer Success, RevOps, Product, and Engineering to identify opportunities and deliver solutions that create real impact
Drive experimentation and innovation by testing bold ideas, learning quickly, and iterating based on results
Help establish engineering standards, best practices, and reusable patterns for building AI solutions at scale
Contribute both strategically and hands-on, balancing long-term thinking with a strong bias toward execution
Requirements
4+ years of software engineering experience building production-grade systems
Strong proficiency in Python, TypeScript, JavaScript, or similar modern programming languages
Hands-on experience building applications with LLMs and AI technologies
Experience working with AI frameworks, orchestration tools, and APIs (OpenAI, Anthropic, LangGraph, LangChain, MCP, etc.)
Ability to design scalable solutions and make sound architectural tradeoffs
Strong problem-solving and systems-thinking capabilities
Demonstrated ability to independently lead complex initiatives from concept to delivery
Excellent communication skills and the ability to work effectively with both technical and business stakeholders
Proven track record of delivering solutions that create measurable business impact
Nice to have
Experience building AI agents and multi-agent systems
Experience with GTM, Revenue Operations, Sales, or Marketing workflows
Experience with Salesforce, HubSpot, or other business systems
Familiarity with RAG, semantic search, vector databases, and evaluation frameworks
Experience building and operating production AI systems
Portfolio of AI projects, open-source contributions, or side projects demonstrating exceptional technical creativity