[Remote] Full Stack AI Engineer

Note: The job is a remote job and is open to candidates in USA. Greystar is a leading global real estate platform specializing in property management and development. The Full Stack AI Engineer will design, build, and ship AI-powered products, working across the stack to enhance real estate asset management through innovative technology solutions.ResponsibilitiesDesign and implement full stack features across our digital products including GPS (our asset management platform), Greystar.com, and internal AI toolsBuild and integrate AI/ML capabilities into production applications — including LLM-powered workflows, MCP tool integrations, retrieval-augmented generation (RAG), and predictive analyticsOwn features from concept through deployment: frontend UI, API design, backend services, data pipelines, and AI model integrationRapidly prototype and iterate on AI-driven features, moving from proof of concept to production with speed and qualityBuild 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 agentsWork with cloud infrastructure (Azure preferred) including serverless functions, container orchestration, and managed AI/ML servicesEnsure production systems are reliable, observable, and secure — with appropriate monitoring, logging, and error handlingPartner with Product Management, Design, Business owners, and Data Engineering to define and deliver high-impact featuresParticipate in architectural decisions that affect the broader platform, advocating for simplicity, maintainability, and AI-readinessCollaborate with other engineers on AI integration patterns, prompt engineering, and modern development practicesSkills5+ years of professional software engineering experience shipping production applicationsStrong proficiency in both frontend (React, TypeScript, modern CSS) and backend (Python, Node.js, or Go) developmentDeep experience with AI coding tools like Cursor, Codex, Claude Code, etcExperience designing and building RESTful APIs, microservices, and event-driven architecturesSolid understanding of relational and non-relational databases, caching strategies, and data modelingExperience 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 workflowsFamiliarity with RAG architectures, vector databases, embedding models, and MCP (Model Context Protocol) or similar tool-use patternsUnderstanding of when to build vs. buy AI capabilities and how to evaluate AI vendor tools criticallyPersonal projects or portfolio demonstrating AI-powered applications you've built — we want to see what you've shippedAI-first mindset — you naturally look for opportunities to automate, augment, and accelerate with AI in your daily work and product developmentStrong written and verbal communication skills; able to explain technical trade-offs to non-technical stakeholdersComfort with ambiguity and a bias toward shipping iteratively over waiting for perfectionCollaborative approach; you work well across product, design, data, and business teamsProficient with modern development tools: Git, Linear (or similar), VS Code/CursorKnowledge of cloud platforms (Azure preferred), containerization (Docker/Kubernetes), and modern DevOps practicesFamiliarity with design systems and component libraries; able to collaborate effectively with designersExperience in real estate, property management, or asset management is a strong plusFamiliarity with marketplace or multi-sided platform productsExperience working in data-intensive environments where data quality and governance matterExperience with Databricks, Snowflake, or similar data platforms is a plusBenefitsCorporate 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.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.Company OverviewGreystar provides services in the multifamily real estate businesses. It was founded in 1993, and is headquartered in Charleston, South Carolina, USA, with a workforce of 10001+ employees. Its website is http://greystar.com.Company H1B SponsorshipGreystar has a track record of offering H1B sponsorships, with 2 in 2026, 13 in 2025, 11 in 2024, 7 in 2023, 14 in 2022, 9 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.