Software Engineer AI Lab

Background

Real estate is deeply connected to nearly every aspect of our daily lives. Whether it's shopping malls, hotels, logistics warehouses powering e-commerce, or data centers supporting the digital world, economic activity always takes place somewhere. At estie, we view real estate as the foundation where economic activity happens, and we're committed to enriching people's lives through the power of data and technology.

Commercial real estate—including office buildings, logistics facilities, and shopping centers—is one of the largest asset classes in the world. Tokyo holds the largest stock of institutionally owned commercial real estate globally, making Japan one of the world's most significant markets. Despite its scale, much of the industry's information remains fragmented and inaccessible, creating barriers to better investment decisions and urban development.

What if people around the world could recognize the true value of Japan's cities and allocate resources based on reliable data? We believe this could unlock new economic opportunities and help create globally competitive cities.

At estie, we are transforming the commercial real estate industry by making information, operations, and transactions more seamless through technology and data. To accelerate this mission, we launched the Real Estate AI Lab in January 2025.

The Real Estate AI Lab combines estie's proprietary real estate data and software platforms with cutting-edge AI technologies to develop solutions for leasing, investment sales, and urban development. We are currently building AI-powered rent appraisal systems and real-estate-specific AI agents, helping create opportunities and efficiencies that were previously impossible through traditional approaches.

We're looking for engineers who are excited about combining large-scale real estate data with AI to build the next generation of industry-changing products.

 

About the Role

The Real Estate AI Lab consists of two primary roles: Algorithm Engineers and Software Engineers.

While Algorithm Engineers focus on researching and developing AI models, Software Engineers focus on delivering those models to users through reliable, scalable software products. The two roles work closely together and often overlap, jointly creating the value behind our AI-powered products.

As a Software Engineer, you will play a critical role in transforming research outcomes into production-ready systems and customer-facing products.

 

Why This Role Is Exciting

Build AI Products Using One of Japan's Largest Real Estate Datasets

• Work with one of the largest commercial real estate datasets in Japan
• Leverage estie's proprietary real estate data to create impactful AI-powered products
• See your work directly influence a massive industry with significant opportunities for transformation

Create New AI Products from Scratch

• Participate throughout the entire product lifecycle, from proof-of-concept to MVP development and production launch
• Design and develop new services that modernize traditionally manual real estate workflows
• Help define entirely new product categories powered by AI

Work with Cutting-Edge Technologies

• Stay at the forefront of developments in Large Language Models (LLMs), including ChatGPT and emerging AI technologies
• Research, evaluate, and apply new technologies to real business problems
• Gain experience across software engineering, data infrastructure, and MLOps
• Contribute to work that may lead to conference presentations, research publications, or patent applications

 

Responsibilities

Productionizing AI Systems

• Design and implement systems that reliably operate machine learning models and data pipelines in production environments
• Build and maintain MLOps infrastructure, including CI/CD pipelines, monitoring, and alerting systems
• Collaborate with other product teams to integrate AI capabilities into customer-facing applications

Product Development

• Work closely with business stakeholders to identify opportunities for AI-driven solutions
• Lead product planning and development from PoC through MVP
• Continuously improve products with a strong focus on customer value and business impact

 

Tech Stack

Languages & Frameworks

• Python
• PyTorch
• TensorFlow
• scikit-learn

Cloud Infrastructure

• AWS
• GCP

Development Tools

• GitHub
• GitHub Actions
• Sentry
• Datadog
• Jira
• Slack
• GitHub Copilot
• Claude Code
• Cursor
• Devin
• Codex

 

Required Qualifications

Software Engineering

• Extensive software development experience
• Strong foundation in software engineering principles
• Experience leading improvements to system reliability, scalability, maintainability, or code quality
• Experience evaluating and selecting architectures and technologies based on business needs
• Proficiency across multiple programming languages and technical domains

Collaboration & Product Development

• Ability to collaborate effectively with cross-functional teams, including business stakeholders, designers, and engineers
• Experience driving projects from proof-of-concept through production delivery
• Strong ownership and execution skills in fast-moving environments

 

Preferred Qualifications

AI & Machine Learning

• Experience working with Large Language Models (LLMs)
• Experience integrating and utilizing APIs such as ChatGPT API and other foundation models

MLOps & Infrastructure

• Experience designing and operating MLOps environments
• Experience with Docker, Kubernetes, and CI/CD systems for machine learning applications

Startup Experience

• Experience building products or services within startups or new business ventures
• Experience working in small, highly autonomous teams

 

Who We're Looking For

• Someone who respects traditional industries and believes in empowering them through technology
• Someone who is willing to cross functional boundaries and take ownership of solving problems regardless of title or role
• Someone who adapts well to changing environments and embraces uncertainty
• Someone who continuously challenges their assumptions, unlearns outdated approaches, and remains committed to growth

Join us in tackling one of the most ambitious challenges in the industry: using AI to unlock new possibilities for the utilization and revitalization of land and buildings.