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AI Engineer (render.ai)

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Summary

AI engineer on render.ai, monday.com's new AI venture — a small, startup-like team building a product that turns words into created outputs. Day to day: prompt engineering for LLMs and image generation, owning model quality end-to-end, building evals and A/B experiments, and monitoring live AI systems, primarily in TypeScript and Python.

Meet render.ai, 's new AI venture. At , we're redefining how humans use AI for work. 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 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



Skills

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See also

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