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.