Senior AI Software Engineer - Internal AI
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Key details
Why this role is notable
monday.com is betting on an 'Agentic SDLC' in which autonomous agents own the release pipeline from pull request to production, signaling that the company wants its own engineering org to be AI-run rather than merely AI-assisted, and that it is positioning its internal tooling as a product story for its customers.
Job Description
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
We are looking for full-stack engineers with a special passion for AI and DevEx to build the vision for the future of SDLC powered by AI. You’ll join our AI engineering organization based in our headquarters in Tel Aviv, Israel.
The Agentic Release team's mission is to pioneer the Agentic SDLC, leveraging cutting-edge AI technology to dramatically increase the organization's velocity and efficiency. This involves integrating autonomous agents across the entire R&D lifecycle - from ideation through monitoring - to accelerate delivery, ensure higher quality, and drive innovation.
About the role
Build monday's core Agentic SDLC, leveraging cutting-edge AI and autonomous agents to automate, stabilize, and pioneer the future of autonomous software delivery.
Drive full autonomy in the release cycle, ensuring a seamless developer experience while rigorously protecting the end user's experience.
Own the entire Agentic SDLC ecosystem, from pull request to production.
Work in a small, highly talented engineering team, collaborating across R&D to take full end-to-end ownership of high-impact agentic projects.
Our stack: Node.js, Golang, TypeScript, React, AWS, Kubernetes, Redis, MySQL, Elasticsearch, and much more.
Requirements
5+ years of professional software engineering experience, with demonstrated strong technical skills building full-stack applications end-to-end
Strong coding and technical skills with a passion for DevEx.
Experience in leveraging AI to build workflows and autonomous agents for efficiency and high-quality outputs.
Ability to see the bigger picture and carry out system architecture planning.
Experience with building modern backend and frontend applications and full application release cycles at scale.
Working in a cloud-based environment.
Team player, egoless, strong communication skills, self-learning abilities, and a sense of ownership.
DevOps experience (AWS, K8S, CI/CD) - advantage.
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Audit details(provenance, verification trail, raw fields)
Core fields
monday:9b0ac730-cce6-402d-bf3d-3713bcaf9488Provenance
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