Job Description:

About the Role

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.

What You’ll Do

Build AI-Powered Products End-to-End

• Design and implement full stack features across our digital products including GPS (our asset management platform) 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 Bring

Engineering 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.