Full Stack AI Engineer

ABOUT GREYSTAR

Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in more than 265 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing over one million units/beds globally.

Across its platforms, Greystar has nearly $79 billion of assets under management, including over $35 billion of development assets and over $36.5 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit

JOB DESCRIPTION SUMMARY

Greystar’s D2AI team is responsible for the platforms, processes, and practices that power AI across the organization. This role goes beyond traditional delivery—your decisions influence how data is transformed into intelligent, scalable solutions used by teams company‑wide. We require AI fluency because this role sits at the intersection of data, technology, and business outcomes. That means understanding how AI systems are designed and operationalized, using AI‑enabled tools in day‑to‑day work, and partnering effectively with engineering, analytics, and business teams to ensure AI solutions are reliable, responsible, and impactful.

In addition to your resume, all candidates are required to include a short video (2–5 min) demonstrating how you have used AI tools in your engineering workflow — code generation, debugging, architecture, documentation, or similar. We recommend recording with Loom (free) or uploading as an unlisted You Tube video. Please embed this link at the top of your resume. Applications without a video link will not be reviewed.

JOB DESCRIPTION

Greystar is building the future of multifamily real estate through data, digital products, and AI. We're seeking a Full Stack AI Engineer who can design, build, and ship AI-powered products end-to-end — from data layer to user interface. This role is for a builder who thrives at the intersection of modern app engineering and applied AI, and who wants to create products that directly improve how real estate assets are managed, leased, and optimized across a multi-billion dollar global portfolio.

You will work across the stack — building performant frontend experiences, robust backend services, and integrating AI/ML capabilities including LLMs, predictive models, and intelligent automation. You'll ship features that are used by property managers, owners, investors, and residents. Our team includes engineers, designers, and product leaders with experience from Google, Microsoft, Airbnb, Strava, Amazon, and more.

• Design and implement full stack features across our digital products including GPS (our asset management platform), , and internal AI tools.
• Build and integrate AI/ML capabilities into production applications — including LLM-powered workflows, MCP tool integrations, retrieval-augmented generation (RAG), and predictive analytics.
• Own features from concept through deployment: frontend UI, API design, backend services, data pipelines, and AI model integration.
• Rapidly prototype and iterate on AI-driven features, moving from proof of concept to production with speed and quality.

• Build responsive, accessible frontend interfaces using modern frameworks (React/Next.js or similar).
• Design and implement scalable backend services and APIs (Python, Node.js, or similar) that serve both human users and AI agents.
• Work with cloud infrastructure (Azure preferred) including serverless functions, container orchestration, and managed AI/ML services.
• Ensure production systems are reliable, observable, and secure — with appropriate monitoring, logging, and error handling.

• Partner with Product Management,…