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 YouTube video.
Please embed this link at the top of your resume. Applications without a video link will not be reviewed.
JOB DESCRIPTION
About the Role
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.
What You’ll DoBuild AI-Powered Products End-to-End
- Design and implement full stack features across our digital products including GPS (our asset management platform), Greystar.com, 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.
Engineer for Scale and Performance
- 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.
Collaborate and Ship
- Partner with Product Management, Design, Business owners, and Data Engineering to define and deliver high-impact features.
- Participate in architectural decisions that affect the broader platform, advocating for simplicity, maintainability, and AI-readiness.
- Collaborate with other engineers on AI integration patterns, prompt engineering, and modern development practices. We are an AI forward team and it’s moving fast so we test, iterate, share and repeat.
What You BringEngineering Excellence
- 5+ years of professional software engineering experience shipping production applications.
- Strong proficiency in both frontend (React, TypeScript, modern CSS) and backend (Python, Node.js, or Go) development.
- Deep experience with AI coding tools like Cursor, Codex, Claude Code, etc.
- Experience designing and building RESTful APIs, microservices, and event-driven architectures.
- Solid understanding of relational and non-relational databases, caching strategies, and data modeling.
- Experience with CI/CD pipelines, infrastructure as code, and cloud platforms (Azure preferred, AWS/GCP acceptable).
AI/ML Integration
- Hands-on experience integrating LLMs (OpenAI, Anthropic, or similar) into production applications — including prompt engineering, function calling, and agent workflows.
- Familiarity with RAG architectures, vector databases, embedding models, and MCP (Model Context Protocol) or similar tool-use patterns.
- Understanding of when to build vs. buy AI capabilities and how to evaluate AI vendor tools critically.
- Personal projects or portfolio demonstrating AI-powered applications you’ve built — we want to see what you’ve shipped.
Domain Knowledge (Preferred)
- Experience in real estate, property management, or asset management is a strong plus.
- Familiarity with marketplace or multi-sided platform products.
- Experience working in data-intensive environments where data quality and governance matter.
Mindset & Communication
- AI-first mindset — you naturally look for opportunities to automate, augment, and accelerate with AI in your daily work and product development. We’ll want to see something you built on the side as a passion project.
- Strong written and verbal communication skills; able to explain technical trade-offs to non-technical stakeholders.
- Comfort with ambiguity and a bias toward shipping iteratively over waiting for perfection.
- Collaborative approach; you work well across product, design, data, and business teams.
Tools & Technologies
- Proficient with modern development tools: Git, Linear (or similar), VS Code/Cursor.
- Experience with Databricks, Snowflake, or similar data platforms is a plus.
- Knowledge of cloud platforms (Azure preferred), containerization (Docker/Kubernetes), and modern DevOps practices.
- Familiarity with design systems and component libraries; able to collaborate effectively with designers.
#LI-Remote
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The salary range for this position is $140,000-$170,000k USD Annually.
Additional Compensation:
Many factors go into determining employee pay within the posted range including business requirements, prior experience, current skills and geographical location.
- Corporate Positions: In addition to the base salary, this role may be eligible to participate in a quarterly or annual bonus program based on individual and company performance.
- Onsite Property Positions: In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs.
Robust Benefits Offered*:
- Competitive Medical, Dental, Vision, and Disability & Life insurance benefits. Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service.
- Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure.
- For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability.
- 6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter).
- 401(k) with Company Match up to 6% of pay after 6 months of service.
- Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy).
- Employee Assistance Program.
- Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans.
- Charitable giving program and benefits.
*Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listed information above due to Collective Bargaining Agreements and/or local governing authority.
This position may be performed remotely anywhere within the United States except the state of Alaska.
Important Notice: Greystar will never request your banking details or other sensitive personal information during the interview process. Greystar does not conduct any interviews via text or messaging, and all communication will come from official Greystar email addresses (@greystar.com). If you receive suspicious requests, please report them immediately to [email protected].
ANTICIPATED CLOSING DATE
September 21, 2026
This date may be subject to change due to evolving business needs.
