Intelix.AI
Artificial Intelligence Engineer
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Artificial Intelligence Engineer
AI Product Engineer | Founding Team | Institutional Real Estate | Location: New York, NY or London, UK fully on-site, 5 days/week Type: Full-time | Founding team role Salary: $180,000 – $250,000 Equity: 0.3% – 0.8% Experience: 2–8 years | Strong preference for 3–4 years early-stage startup experience
The Company
An AI-native startup seed-funded, 11 people is building the agentic AI stack for the world's largest real estate institutions. Their platform automates complex development workflows (site sourcing, diligence, acquisitions) 90% faster than current methods. They are already live and generating revenue with some of the most respected names in global institutional real estate and technology. This is not pre-revenue. This is not a pilot. This is a company with elite customers, elite investors, and a 4-person engineering team that needs one more great person to help them scale.
Why This Role Is Different
0.3–0.8% equity 4-person engineering team you own the stack, your decisions shape the product forever Real customers, real production systems building for trillion-dollar institutions from day one You use what you build the team runs its own agent platform daily for internal workflows Report directly to an engineering leader with 8 years experience scaling a major tech company pre- and post-IPO someone deeply invested in your growth
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What You'll Do
You will own the customer-facing product layer of an agentic AI platform the full-stack surfaces that real estate development teams use to automate some of the most complex workflows in the built world.
Build and iterate on the customer-facing web app, owning features end-to-end from backend workflow logic to user-facing UI Design and ship agentic workflows using LangGraph, LangChain, or similar frameworks to automate real estate development processes Work with geospatial product surfaces — maps, data layers, performance-heavy interfaces — and make them fast, reliable, and intuitive Own the BFF (backend-for-frontend) layer and data modeling to keep the stack clean as the product scales Work directly with domain experts to translate messy real-world workflows into elegant product experiences
Must-haves:
TypeScript-first with strong, reasoned opinions on frontend frameworks (React, Svelte, SolidJS) and JS runtimes (Node, Bun, Vite) Shipped production full-stack features to real external users — not demos, not internal tools; genuine end-to-end product ownership Hands-on experience with agentic AI frameworks (LangGraph, LangChain, or equivalent) in production 2–8 years of full-stack or product engineering experience, with a significant chunk at early-stage startups (Seed–Series C) CS or engineering degree Python proficiency Based in or immediately willing to relocate to New York or London (fully on-site, 5 days/week)
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Ideal extras:
Exposure to geospatial or map-heavy data and interfaces Experience at an AI-native company or building on LLM APIs, RAG pipelines, or tool-calling systems An eye for design and architecture — in both the software and the physical world
Who Thrives Here
You are someone with killer energy. You are curious. You want to win. You are not looking for a narrowly scoped role with clear tickets and predictable hours. You want to be the person who owns something who can say in three years, "I built that."
You communicate clearly, listen well, and know the difference between a thoughtful answer and five minutes of name-dropping. You are probably at a company where you've proven yourself, but you're watching the AI wave and thinking: I should be building this, not waiting for my manager to approve a roadmap item.
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