Senior AI Software Engineer - AI Engineering

Posted Yesterday
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Tel Aviv, ISR
Hybrid
Senior level
Artificial Intelligence • Productivity • Sales • Software
Power the most ambitious teams.
The Role
Design and ship production AI systems and autonomous agents that plan, execute, verify, and recover across complex tools and workflows. Build evaluation and observability capabilities, explore models and techniques, balance capability with latency, cost, and reliability, and own projects from experimentation through production impact. Collaborate across monday.com while applying strong architecture, cloud engineering, product judgment, communication, and ownership.
Summary Generated by Built In

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

AI is changing what software can do and how we build it. At monday.com, we’re building an AI Engineering organization with the ambition to be among the best in the world. We’re looking for exceptional engineers who want to push the boundaries of autonomous systems and turn emerging technology into dependable software at scale.

We build the systems that let AI agents take on meaningful work, collaborate with people, and own increasingly complex tasks from start to finish.

Our challenges span agent orchestration, context and memory, tool execution, evaluations, and autonomous delivery. We experiment with frontier models, challenge established approaches, and learn from running systems in production.

You’ll join a team with high technical standards, direct ownership, and room to shape both the architecture and what we tackle next.

 

About the role

  • Design and ship AI systems that plan, act, verify results, and recover when things go wrong.

  • Build the foundations for agents to operate across complex tools, workflows, and environments.

  • Develop evaluation and observability capabilities that make agent behavior measurable and improve it over time.

  • Explore new models and techniques, making deliberate trade-offs between capability, latency, cost, and reliability.

  • Own projects from early experiments through architecture, production rollout, and measurable impact.

  • Work closely with engineers and teams across monday.com to solve problems with broad reach.

  • Our stack includes TypeScript, Node.js, Go, React, AWS, and Kubernetes. We value engineering depth and learning ability over familiarity with every tool.

Requirements

  • 5+ years of software engineering experience and a strong record of shipping production systems.

  • Strong coding skills, architectural judgment, and experience building cloud-based applications.

  • Hands-on experience building with LLMs, agents, or AI workflows beyond basic prompting.

  • Curiosity to explore unfamiliar technology and the discipline to test whether it works.

  • Clear communication, low ego, and a strong sense of ownership.

  • Strong product judgment: understand user needs, challenge assumptions, and turn complex AI capabilities into simple, valuable experiences.

  • Bonus- Experience with distributed systems, agent orchestration, evaluation frameworks, or production AI infrastructure.

#LI-DNI

 

Skills Required

  • 5+ years of software engineering experience
  • Strong record of shipping production systems
  • Strong coding skills and architectural judgment
  • Experience building cloud-based applications
  • Hands-on experience building with LLMs, agents, or AI workflows beyond basic prompting
  • Curiosity to explore unfamiliar technology and discipline to test whether it works
  • Clear communication, low ego, and strong sense of ownership
  • Strong product judgment and ability to turn complex AI capabilities into valuable user experiences
  • Experience with distributed systems, agent orchestration, evaluation frameworks, or production AI infrastructure

What the Team is Saying

Ruchita
Nate
Kyle
Brad Wisselman
Brad Wisselman
Bianca Collado

monday.com Compensation & Benefits Highlights

  • Healthcare Strength — Comprehensive medical, dental, and vision coverage is highlighted, with multiple plan options and HSA availability. In some cases the employer covers a large share of premiums.
  • Retirement Support — Employer 401(k) contributions are explicitly advertised, with automatic contributions described in U.S. postings. This creates a clear baseline of retirement support.
  • Parental & Family Support — Fully paid parental leave is prominently featured, with substantial paid time available to both primary and secondary caregivers. This sits alongside paid sick leave and broader time-off provisions.

monday.com Insights

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The Company
HQ: New York, NY
3,155 Employees
Year Founded: 2012

What We Do

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.

Why Work With Us

At monday.com we believe in transparency, accountability, and impact. Together, those values have lent themselves to create a strong culture of professional and creative autonomy where every team member is encouraged to share ideas and help bring them to life!

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monday.com Teams

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About our Teams

monday.com Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

monday.com embraces a flexible work environment with our hybrid model.

Typical time on-site: 3 days a week
HQNew York, NY
HQTel Aviv
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