Full Stack AI Engineer

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.

Responsibilities

• Build 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.

Requirements

• 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).
• 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.

Qualifications

• Personal projects or portfolio demonstrating AI-powered applications you’ve built — we want to see what you’ve shipped.
• 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.

Skills

• AI-first mindset — you naturally look for opportunities to automate, augment, and accelerate with AI in your daily work and product development.
• 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.
• 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.

Benefits

• Competitive Medical, Dental, Vision, and Disability & Life insurance benefits.
• Generous Paid Time off.
• Employee Assistance Program.
• Charitable giving program and benefits.

Pay

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.

Application Instructions

Applications without a video link will not be reviewed. Please 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. Please embed this link at the top of your resume.