Lending SaaS platform with AI-powered loan origination and debt collection
Credit Engine operates a full-stack lending platform—loan origination, management, and collections—built on Django/PostgreSQL with AWS infrastructure and actively adopting Claude and GitHub Copilot. The engineering-heavy hiring focus (8 of 11 open roles) paired with active projects around generative AI for debt collection and a model monitoring pipeline signals movement toward AI-assisted underwriting and collections automation, addressing their stated pain point of reducing approval times.
Credit Engine is a Tokyo-based fintech company (founded 2016) that builds SaaS products for lenders and borrowers across loan origination, portfolio management, and debt collection. The company began with an online lending service in Japan and has expanded to Southeast Asia. Today the platform handles loan applications, underwriting via machine-learning models (scikit-learn, Amazon SageMaker), and collections workflows. The tech stack is Python/Django/PostgreSQL on AWS with Docker containerization and CI/CD via GitHub Actions and AWS CodePipeline. Active projects include platform feature expansion, cloud infrastructure optimization, and generative AI pilots for collections.
Backend: Python, Django, PostgreSQL with Amazon RDS/Aurora. Frontend: Vue and Tailwind CSS. Infrastructure: AWS (Fargate, CDK, CodePipeline, SageMaker). ML: scikit-learn. Monitoring: Sentry, PagerDuty. Recently adopting Claude and GitHub Copilot.
Active projects include loan platform feature development, a generative AI proof-of-concept for debt collection, model monitoring and retraining pipelines, cloud adoption, and internal library development.
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