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?
We believe the role of a software engineer is changing. As AI takes on more of the implementation work, great engineers spend less time translating specs into code and more time deciding what should be built and whether it's actually good.
An experienced, product-minded engineer with ~4+ years of software engineering experience. Problems here won't arrive as polished specs; you'll start from a user need, help define the product, and take it all the way to production.
You use AI as leverage, not a substitute for judgment. We expect AI to write a meaningful share of the code. Your value is knowing what to ask for and spotting when the output is wrong.
You think like a product builder, not just an implementer. You care about UX, challenge assumptions, and iterate based on what you learn, with a real say in what we build, not only how.
You thrive in an early-stage startup, where priorities shift, and many important problems are still undefined, and you're excited to create clarity rather than wait for it.
You can build end-to-end. Background matters less than your ability to move across the stack and get something into users' hands; backgrounds in SaaS, cybersecurity, infrastructure, and hardware are all relevant.
Deeply hands-on with React/Next.js, Node.js, and TypeScript, and comfortable with cloud infrastructure (GCP/AWS), CI/CD, and production systems.
Strong product taste and user empathy, moving faster only matters if we're moving toward something people actually want.
A strong communicator and teammate. In a small team, ideas get shaped together, so we value people who communicate clearly and challenge each other constructively.
Advantages
Experience building AI-native products
Familiarity with modern AI/LLM tools, using them day-to-day is a plus, not a requirement
Experience with vector embeddings, RAG architectures, or AI inference pipelines
Experience with real-time collaboration, WebSockets, or state-sync frameworks
Build and scale full-stack membership features that deepen engagement and retention, owning projects from architecture and API design through polished mobile experiences while improving reliability and measuring member impact.
Own end-to-end engineering for an AI-native healthcare platform, building agentic workflows and full-stack features while shaping services, infrastructure, and production reliability.
Build and ship scalable features for international mid-market restaurant operators, owning delivery from design through rollout while upholding strong engineering standards and collaborating across product and engineering.
Build production applications and integrations for multimodal AI, including developer tooling, evaluation systems, and enterprise deployments, while translating real-world performance needs into model and platform improvements.
Build and maintain SDKs, Terraform tooling, and code generation while shaping API versioning and governance, improving developer experience, and guiding projects from design through release.
