Full Stack Engineer

About us We’re building a future where property teams spend less time managing software and more time creating better places to live and work. Vessla is an agentic operating system for property operations. It connects to the systems property teams already use so AI agents can find the information that matters, apply each organization’s operating rules and carry out work across those systems. The hard part is making this work reliably. That takes deep integrations, a detailed understanding of each business, rigorous evaluation and clear boundaries on what agents can do. Our founding team brings experience building and deploying advanced AI systems at QuantumBlack, McKinsey, NASA, Andon Labs and Legora. The role Join our early team as a fullstack engineer and help shape how property teams use AI in their everyday work. You’ll own features from the first user conversation through to production. That could mean sitting down with a property manager to understand how they follow up on a repair, connecting the systems that hold the work order and contractor update, and building the screen where they review the next step. You’ll get a chance to work on

• Product and design. Build TypeScript interfaces that show users what an agent found, what it has done and where it needs their input.
• Backend and integrations. Design APIs and data models that connect property systems. Make workflows reliable when records disagree, information is missing or an update only partly succeeds.
• DevOps & testing. Design reliable testing and DevOps pipelines to catch all issues early and increase the speed of the developer team.

You’ll take meaningful ownership from the start, with room to shape your focus around your strengths and interests. Our stack includes TypeScript, TanStack, Python, AWS and Langfuse. Who we’re looking for

• You’ve shipped fullstack features to production and can walk us through the decisions you made across the interface, backend and data model.
• You enjoy talking to users and can point to a product decision that changed because of something you learned from them.
• You care about building maintainable software while moving quickly. You think about how a feature behaves when something goes wrong and how the user can recover.
• You bring ideas, challenge assumptions and take the initiative to try things out. You’re curious about building with AI agents, and hands-on experience with LLM systems is a plus.

We keep the path from idea to working product short. You’ll have the freedom to experiment, the responsibility to make things work and direct access to the people who depend on what you build.