---
title: 'AI Engineer (render.ai) at monday.com'
canonical: 'https://feeny.ai/job/ai-engineer-render-ai-monday-com-tel-aviv-1m4ftsvvea3e'
type: 'job'
last_seen: '2026-09-24'
---

# AI Engineer (render.ai) at monday.com

- **Company:** [monday.com](https://feeny.ai/companies/monday-com)
- **Location:** Tel Aviv, Israel
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-07
- **Last confirmed live:** 2026-09-24
- **Apply:** https://jobs.ashbyhq.com/monday.com/077675a8-bfb6-47f4-a466-347561c26258/application

**Skills:** Python, TypeScript, Node.js, React, Next.js, PostgreSQL, Google Cloud Platform, LLM APIs, Embeddings, Vector Databases, RAG Pipelines, Agent-based Systems, Tool Use, Multi-step Reasoning, System Design, Distributed Systems, A/B Testing, Prompt Engineering, Model Evaluation, Production Monitoring

> Join monday.com's New Ventures team to architect and build AI-native systems, including autonomous agents and intelligent workflows, from 0 to 1. You will own the full lifecycle of model quality, design evaluation frameworks, and drive continuous improvement in production.

## Job description

Meet render.ai, [monday.com](http://Monday.com)'s new AI venture. At [render.ai](http://render.ai), we're redefining how humans use AI for work. [render.ai](http://render.ai) enables anyone to bring ideas to life in minutes, using their words. We're a small, autonomous team - closer in spirit to an early-stage startup than to an established company. There's no fixed playbook: we're still figuring out what the product looks like, and every engineer helps shape that, not just build it.

What are we looking for?

- You love prompt engineering for LLM and image generation, chasing high-fidelity outputs at scale, and you know how to push foundation models further than most think possible
- You own the model quality lifecycle end-to-end, from early experiments to production monitoring, turning the latest LLM breakthroughs into systems that hold up at scale
- You build evaluation frameworks you can trust, offline tests, and A/B experiments that turn feedback into real, measurable improvements
- You keep a close eye on live AI systems, watching latency, hallucinations, and drift, and get ahead of failure modes before they become real problems
- You're genuinely strong in TypeScript and Python, comfortable moving between fast AI experimentation and solid production engineering
- You like getting hands-on with data, sourcing and cleaning it to make prompts, models, and evals better
- You're energized by ambiguity and fast-moving environments, always curious about the newest models and techniques on the frontier
- You're excited about where this goes next, helping [render.ai](http://render.ai) expand into new modalities like voice and video

Advantages:

- Experience with modern LLMs and image models such as Flux and Imagen
- Experience building AI-native or agent-based products from scratch
- Familiarity with LLM observability tools, tracing, and debugging workflows
- Background in rapid prototyping, experimentation, or startup-like environments

## About monday.com

## Company Overview
- **One-liner**: monday.com is a global software company that develops a browser-based AI work platform to help teams manage their work, automate processes, and achieve more together.
- **Entity Type**: Public (Nasdaq: MNDY)
- **Headquarters**: Tel Aviv, Israel (with major offices in New York, London, Warsaw, Tokyo, Singapore, Melbourne, and Munich)
- **Founded**: February 2012 (originally as dapulse, rebranded to monday.com in 2017)
- **Founders**: Roy Mann and Eran Zinman

## Core Business
- **Primary industry/industries**: Process management, project management software, productivity software, team management, customer relationship management (CRM), collaborative software
- **Target customers**: B2B - serving over 250,000 customers globally, including over 60% of the Fortune 500
- **Mission or purpose statement**: "Shape how the world works" - helping teams get more work done with AI-powered tools that automate, build, and scale impact end-to-end.

## Products & Services
- **monday.com Work OS**: The core platform, a customizable, no-code work operating system for managing projects, workflows, and processes across teams and departments.
- **monday AI Platform**: An enterprise-grade AI infrastructure that allows users to build and deploy AI agents to automate tasks, with features like simulation mode, full user control, and a guarantee that customer data is never used to train AI models.
- **monday CRM**: A customer relationship management solution built on the Work OS.
- **monday Dev**: A product management tool tailored for software development teams.
- **monday Sales CRM**: A dedicated CRM for sales teams.
- **monday Marketer**: A work management solution for marketing teams.
- **Open API & Integrations**: An open platform allowing third-party developers to build custom views, dashboard widgets, automations, and integrations with other work apps.

## Market Standing
- **Valuation/Market Cap**: As a public company, market cap fluctuates. During its last private round in 2019, it was valued at $1.9 billion. The company went public in June 2021.
- **Key Metric**: Over $1.232 billion in annual revenue (2025), with over $1 billion in ARR.
- **Notable Investors/Partners**: Insight Partners, Sapphire Ventures, Hamilton Lane, HarbourVest Partners, ION Crossover Partners, and Vintage Investment Partners were key investors in its growth rounds.
- **Growth Signals**: The company has grown to over 3,155 employees (2025), serves over 250,000 customers, and is trusted by over 60% of the Fortune 500. It is aggressively expanding its AI capabilities with its new AI work platform and agent features.

## Competitive Advantages
- **Platform Stickiness**: monday.com is a highly customizable, no-code platform that becomes deeply embedded in a customer's daily workflows, creating high switching costs.
- **Data Privacy & Trust**: The company explicitly states that customer data is never used to train AI models, a major differentiator for enterprise clients concerned with data security.
- **Enterprise-Grade Security**: Offers robust security, governance, permissions, and compliance features, making it a trusted partner for large organizations.
- **Strong Brand & Scale**: With over 1 billion in ARR and a massive customer base, the company has significant resources for R&D and market expansion.

## Strategic Focus
- **AI-First Platform**: monday.com is pivoting heavily to become "The AI Work Platform for People & Agents," allowing users to build, validate, and deploy AI agents to automate work. This is the company's primary growth vector.
- **Expanding Enterprise Footprint**: Deepening its penetration into large enterprises by offering a secure, scalable, and customizable platform.
- **Product Ecosystem Growth**: Continuously expanding its suite of specialized products (CRM, Dev, Marketer) to capture more of the enterprise software market.

## Why Work Here
- **Product-First Culture**: The company is deeply committed to building intuitive, powerful, and easy-to-use products that solve real customer problems.
- **Impact & Ownership**: Employees are given significant ownership over their work from start to finish, fostering a culture of personal investment and high impact.
- **Hybrid Work Model**: monday.com offers a hybrid work environment, with most teams spending three days a week in the office for collaboration and the rest working remotely.
- **Career Growth**: The company provides learning programs, mentorship, development opportunities, and an internal mobility process to support diverse career paths.
- **Global & Diverse Team**: With 3,000+ employees across 15+ locations and 17 teams, the company offers a truly international and diverse work environment. It is an equal opportunity employer committed to inclusion.
- **Strong Financial Health**: As a profitable, publicly-traded company with over $1B in ARR, monday.com offers stability and long-term growth potential for its employees.

## Sources
1. [monday.com Careers Page](https://monday.com/careers)
2. [monday.com Official Website](https://www.monday.com/)
3. [Built In - monday.com Company Profile](https://builtin.com/company/mondaycom)
4. [Wikipedia - Monday.com](https://en.wikipedia.org/wiki/monday.com)
5. [LinkedIn - monday.com](https://uk.linkedin.com/company/mondaydotcom)

## Other roles at monday.com

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- [Experienced IT Security Engineer](https://feeny.ai/job/experienced-it-security-engineer-monday-com-tel-aviv-6r23zgtrgw3j) — Tel Aviv, Israel
- [Senior Workplace Specialist - APJ](https://feeny.ai/job/senior-workplace-specialist-apj-monday-com-sydney-6779tekmg2tq) — Sydney, Australia
- [Lead Product Designer - CRM](https://feeny.ai/job/lead-product-designer-crm-monday-com-tel-aviv-2sb6ztt958h1) — Tel Aviv, Israel
- [Customer Success Manager](https://feeny.ai/job/customer-success-manager-monday-com-new-york-hf8g138y6jgg) — New York, NY
- [Software Engineering Tech Lead - AI Project Management](https://feeny.ai/job/software-engineering-tech-lead-ai-project-management-monday-com-tel-aviv-nn6jjr734wcn) — Tel Aviv, Israel
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- [AI Enablement Solutions Manager](https://feeny.ai/job/ai-enablement-solutions-manager-monday-com-tel-aviv-mf5nhky78bkw) — Tel Aviv, Israel
- [Director of Global IT](https://feeny.ai/job/director-of-global-it-monday-com-tel-aviv-qdrrqpbt3m6g) — Tel Aviv, Israel
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