Full Stack AI Engineer

Greystar is a leading global real estate platform, and they are seeking a Full Stack AI Engineer to design, build, and ship AI-powered products. This role involves working across the stack to create solutions that improve the management and optimization of real estate assets.

Responsibilities:

• 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
• 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, 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, AWS/GCP acceptable)
• 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
• 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
• 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
• 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