Note: The job is a remote job and is open to candidates in USA. Greystar is a leading global real estate platform seeking a Full Stack AI Engineer to design, build, and ship AI-powered products end-to-end. This role involves working across the technology stack to create solutions that improve real estate asset management, leveraging AI and modern engineering practices.
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
Skills
- 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
- 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
- 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
Benefits
- 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.
- 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.
- In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs.
Company Overview
Company H1B Sponsorship