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Open nowPosted 26 days ago

AI Engineer (render.ai)

monday.com91 open roles

Where
Tel Aviv
Work mode
Hybrid
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Your applicationOpen nowAI Engineer (render.ai)monday.com · Tel Aviv
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  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 26 days ago

The posting

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

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