AI Engineering Tech Lead (Core Engineering)R&DTel-Aviv, IL
Monday.comRemotePosted 30 March 2026
Job Description
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AI Engineering Tech Lead (Core Engineering)
R&D
Tel-Aviv, IL
About The Role
At monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.
Build a shared vision with the DevEx and Core Engineering leadership for AI-driven developer tooling, supporting development by prototyping agents and workflows while serving as a subject matter leader for internal R&D efficiency
Work closely with Product and R&D stakeholders, taking full responsibility and ownership from conception to post-deployment of AI tools that automate and optimize the daily lives of our engineers
Work with a team of experienced and highly talented developers in a CI/CD environment, leveraging LLMs and agentic frameworks to redefine the developer experience
Spearhead the development of new internal features and AI agents—from automated code reviews to intelligent debugging tools—taking ownership of the entire development lifecycle
Contribute to the overall technical strategy and roadmap of our internal platform, driving initiatives that leverage AI to improve developer velocity, code quality, and system reliability
Promote a culture of innovation and ongoing growth, inspiring the team to explore how emerging AI technologies can solve complex engineering bottlenecks
Continuously monitor and analyze developer feedback and internal productivity metrics to identify areas for optimization and tool refinement
Our Stack - React.JS, Redux, Node.js, Ruby on Rails, AWS, Elastic Search, Redis, MySQL, and modern AI/LLM frameworks. We encourage our teams to stay updated on industry trends and emerging technologies to continuously improve our internal ecosystem
Your Experience & Skills
Strong proven technical skills and a passion for developing tools that engineers love and use every day, developing AI-integrated features end-to-end (client and server)
7+ years of experience building complex web applications and scalable backend systems
Technical leadership experience (Architect, Tech Lead, or similar roles) with a focus on platform engineering or developer productivity
Ability to collaborate with teammates and R&D leads across the organization to brainstorm, set productivity targets, and devise AI-driven solutions
Great "Developer Sense," a passion for building internal software that provides a seamless, frictionless experience for fellow engineers
Focus on quality and simplicity in architecting tools that solve high-friction problems without adding complexity
A "growth mindset," including strong analytical, inquisitive, and data-driven experiences with LLMs and automation
Team player, strong communication skills, and empathetic toward the challenges faced by modern engineering teams
Degree in Computer Science (not a must; we're always looking for super talented people)
Apply to this job
We believe in equal opportunity.
At monday.com, we believe everyone should feel they belong - exactly as they are. We’re an equal opportunity employer, committed to an open, accessible, and inclusive workplace free from discrimination or harassment of any kind.
All qualified candidates will be considered for employment, regardless of race, color, religion, nationality, sexual orientation, gender identity, age, marital status, pregnancy, family or parental status, disability, veteran status, or any other characteristic protected by law.
If you need support or accommodation during the hiring process, we’re here to help.
Meet the R&D team
The R&D Team is passionate about building innovative and lovable products, while tackling complex engineering problems at a great scale. We’re accountable for bringing the ... (truncated, view full listing at source)
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