Founding Engineer

Orange Quarter; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Orange Quarter is seeking a founding engineer to join early and help scale an AI-native platform transforming commercial real estate. You will own critical infrastructure and shape the product as the team grows, tackling unstructured data, LLM-based extraction, and enterprise-grade reliability.

Ideal candidates have 1–5 years in software, cross‑stack experience (frontend, backend, and AI/ML) and a passion for building, not just maintaining.

Qualifications

• 1–5 years of software engineering experience.
• Experience across frontend, backend, and AI/ML.
• Desire to build and own product, not just maintain.
• Strong fundamentals and interest in LLMs, extraction, agents or ML-adjacent systems.
• Comfort with ambiguity in an early-stage roadmap.
• Willingness to work directly with founders.

Responsibilities

• LLM-based extraction from real-world, imperfect documents.
• Building evals that actually tell you something about quality.
• Agentic workflows that can be trusted to run without a human double-checking every step.
• Getting all of it to hold up reliably at enterprise scale.

Skills

AI/ML

Full stack development

LLMs

Frontend

Backend

Ownership mindset

Ambiguity tolerance

Job description

We've partnered with a super exciting start-up that are revolutionizing the commercial real-estate industry with their AI-native platform. They're building AI that takes over the messiest, most manual parts of commercial real estate, and it's working. ARR is up 80% quarter over quarter, then another 154% the quarter after. They just closed their first six-figure customer, did $300K across 7 deals last quarter, and everything in the pipeline right now is six figures or more. They're already live with large, publicly traded companies, with C-suite execs using the product regularly, not just piloting it.

They're looking for a founding engineer to join early and help scale what's been built.

What you'll work on

Commercial real estate runs on an enormous amount of messy, unstructured data: leases, loans, and other documents that don't play nice with traditional software. They're using AI to actually automate the work that sits on top of that data. That means:

• LLM-based extraction from real-world, imperfect documents
• Building evals that actually tell you something about quality
• Agentic workflows that can be trusted to run without a human double-checking every step
• Getting all of it to hold up reliably at enterprise scale

This isn't a thin wrapper around a model API. It's real infrastructure work on a genuinely hard problem.

What they're looking for

• Someone with 1-5 years experience
• Someone who has experience with the full development cycle; frontend, backend and AI/ML
• Someone who wants to build, not just maintain: you'll have real ownership over the product
• Strong engineering fundamentals, with experience (or strong interest) in LLMs, extraction, agents, or ML-adjacent systems
• Comfort with ambiguity: early-stage means the roadmap isn't fully written yet, and you'll help write it
• Someone who wants to work directly with the founders, not through five layers of management