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
Skills Required
- Strong TypeScript skills
- Strong Python skills
- Prompt engineering experience for LLM and image generation
- Experience managing the model quality lifecycle from experimentation through production monitoring
- Experience building evaluation frameworks, offline tests, and A/B experiments
- Experience monitoring live AI systems for latency, hallucinations, and model drift
- Hands-on experience sourcing and cleaning data
- 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
What the Team is Saying
monday.com Compensation & Benefits Highlights
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is offered in the U.S., complemented by mental-health resources such as counseling sessions and Calm access.
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Parental & Family Support — Up to 13 weeks of fully paid parental leave for all caregivers is provided, with adoption assistance and a structured return-to-work program that support families.
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Retirement Support — A 401(k) with an automatic 3% company contribution regardless of employee deferral is included, strengthening long-term financial security.
monday.com Insights
What We Do
At monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.
Why Work With Us
At monday.com we believe in transparency, accountability, and impact. Together, those values have lent themselves to create a strong culture of professional and creative autonomy where every team member is encouraged to share ideas and help bring them to life!
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
monday.com embraces a flexible work environment with our hybrid model.
