About this role
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