Relomote
AI

Full Stack Engineer

AitalentnowEngineering & Development
Hiring from
United States
Work type
Remote
Posted
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About Us

AI Talent Now, LLC is a powerhouse in direct-hire talent acquisition, connecting exceptional talent with industry-leading organizations across IT, Engineering, Financial Services & Fintech, and Manufacturing & Robotics. Headquartered in Atlanta, Georgia, we proudly serve clients and candidates nationwide.

Job Description

AI Talent Now job # ZR 86

We are looking for a Full Stack Engineer with 10+ years of experience to own features end-to-end on an AI operating system for commercial real estate that's been battle-tested in production across one of the 50 largest apartment owner-operators in the country. You'll join a small, fast-moving team building agentic AI systems, RAG pipelines, and multi-agent architectures that power real day-to-day operations across a massive portfolio. This is not a ticket-taking role—you'll make hard architectural calls, ship AI features in production, and connect technical decisions directly to business impact. We need someone who's been an early-stage engineer at a startup that scaled and has gone deep on AI infrastructure in the last 2-3 years.


Requirements

Seniority

10+ years of experience in full stack engineering (backend-​leaning),​ using JS/TS and Python


Work experience

Shipped AI features in production (agents,​ RAG,​ multi-​agent systems,​ evals — not just API wrappers)

Early-​stage or founding engineer at a startup that scaled (employee #5–20 range)

Real estate,​ proptech,​ or property management domain experience


Hard skills

Production experience with JS/TS and Python — core stack,​ non-​negotiable

Built agentic systems with orchestration,​ eval pipelines,​ or Context Engineering in production

End-​to-​end feature ownership including architecture decisions


Soft skills

Operates autonomously in ambiguity without hand-​holding


Miscellaneous

Remote-​friendly;​ must travel to Dallas for final interview and occasional team events

Preferred locations:​ Austin,​ SF,​ NY,​ or Dallas



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