Build data pipelines and machine-learning models for commercial real estate, tune inference, and lead AI product PoCs and MVPs with business teams. Hybrid remote work is available in Tokyo.
About this role
This full-time software engineering role is part of the Real Estate AI Lab, launched in January 2025. The lab combines commercial real estate data and AI to develop solutions for rental transactions, property sales and urban development. Current work includes rent estimation and AI agents specialized for real estate.
The role focuses on delivering AI models to users as software rather than researching the models themselves. Responsibilities include designing and implementing models and data pipelines for stable production operation, establishing and operating MLOps practices such as CI/CD, monitoring and alert design, and implementing applications in cooperation with other product teams. The engineer also identifies AI use cases and customer needs with business members, plans AI products, leads development from proof of concept through minimum viable product, and supports product growth with customer value in mind.
Required qualifications include deep software development experience, systematic software knowledge, experience leading improvements to system stability and codebase extensibility, and experience selecting architectures and technologies suited to business needs. Candidates should be familiar with multiple programming languages and technologies, able to collaborate with business members, engineers and designers from different backgrounds, and able to move quickly from proof of concept to productization.
Preferred experience includes using large language models such as ChatGPT, working with different models including the ChatGPT API, building MLOps environments, and introducing Docker, Kubernetes or CI/CD for machine-learning systems. Experience developing at a startup or for a new business, or developing quickly in a small specialist team, is also welcomed.
The development environment includes Python, PyTorch, TensorFlow and scikit-learn; AWS and GCP; GitHub; GitHub Actions; Sentry; Datadog; JIRA; Slack; and development-support tools including GitHub Copilot, Claude Code, Cursor, Devin and Codex. The role may involve research and practical validation of current LLM technologies, with results potentially leading to papers, conference presentations or patent applications.
The position is permanent with a three-month probationary period from the start date. The work location is the head office in Minato, Tokyo, with other company-designated locations possible. Office attendance combined with remote work is encouraged, and the residence guideline is within the Tokyo metropolitan area or within a 90-minute one-way ordinary-train commute.
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