AI Engineer (render.ai) at monday.com (Tel Aviv, Israel)
monday.com· Tel Aviv, Israel·
Role details
monday.com at a glance
A no-code work platform, now built around AI agents, that lets any team shape its own projects, CRM, dev, and IT workflows in one place.
monday.com builds a customizable, no-code work platform where teams manage projects, sales, software development, and IT service on a shared board-based engine, increasingly with AI agents that execute tasks rather than just track them.
~$234M in venture funding before its June 2021 Nasdaq IPO raised · latest: IPO (Nasdaq: MNDY), June 2021 · backed by Insight Partners, Sapphire Ventures, Stripes, Hamilton Lane
Summary
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's new AI venture. At render.ai, we're redefining how humans use AI for work. 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 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
Why work at monday.com
- 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.