Software Engineer– Dr.Zero (AI-Powered Decarbonization Platform)_CEO室

About Dr.Zero Dr.Zero is not a dashboard. It is not just a reporting tool. It is an AI-powered autonomous operating system for corporate decarbonization. Dr.Zero ingests messy enterprise data (PDFs, invoices, ERP exports, IoT streams), validates it with ML, enables natural language analysis, simulates reduction scenarios, monitors real-time performance, and identifies cleantech innovations. The system consists of six autonomous modules: INGEST – OCR + intelligent document processing for structured extraction VALIDATE – AI-driven anomaly detection and data quality scoring SYNTHESIS – Natural language queries + multi-framework ESG reporting ARCHITECT – MACC analysis, NPV optimization, decarbonization roadmaps SENTINEL – Real-time dashboards and intelligent alerting UPGRADE – AI-based cleantech discovery and implementation proposals All modules are orchestrated by an Agentic Workflow Engine with human-in-the-loop approvals and conversational AI interfaces. This is enterprise-grade, AI-native infrastructure for Japan’s largest companies. Why This Role Matters Japan’s GX policy and global ESG regulations are creating mandatory disclosure and reduction requirements. The carbon management software market is projected to reach $60B+ by 2030. Every feature you ship directly influences real-world emission reduction decisions. You will build systems that affect whether factories adopt hydrogen furnaces, fleets electrify, or supply chains uncover hidden Scope 3 emissions. This is planetary infrastructure — not engagement metrics. Responsibilities As a founding engineer on Dr.Zero, you will work across the full stack and take ownership end-to-end. Examples of ownership include: Designing event-driven communication between microservices Building OCR-to-structured-data pipelines for Japanese invoices Architecting natural language query engines over carbon datasets (RAG) Implementing scenario simulation engines (MACC, NPV optimization) Developing real-time anomaly detection and alerting systems Designing Terraform modules and Kubernetes manifests Shipping an embeddable Agentic SDK for other Zeroboard products Building multi-step workflow engines with compliance-grade audit trails We are a small team. There are no strict boundaries. You will shape architecture decisions that define the product. Tech Stack Frontend Next.js 15, TypeScript, React Server Components Tailwind CSS Agentic UI framework Backend Python 3.12 / FastAPI GraphQL (BFF Gateway) Domain-Driven Design microservices AI / ML Amazon Bedrock (LLMs) Amazon Textract (OCR) Amazon SageMaker (custom ML) RAG with OpenSearch Infrastructure Amazon EKS (Fargate) Terraform (IaC) ArgoCD (GitOps) AWS Step Functions EventBridge / SQS / SNS Aurora PostgreSQL Serverless v2 Redis / OpenSearch Serverless Observability & Security CloudWatch, Grafana, X-Ray Cognito (SAML/OIDC) WAF, VPC isolation, KMS encryption

・Experience building and shipping production-grade systems ・Strong backend development skills (Python preferred, but transferable from Java/Go/TypeScript) ・Experience with modern frontend frameworks (React/Next.js) ・Familiarity with cloud-native architecture (containers, managed DBs, CI/CD) ・Ability to work across the stack and solve problems end-to-end ・Strong written and verbal communication skills ・Self-driven mindset in small, high-ownership teams

・AI/ML engineering experience (LLMs, RAG, document processing) ・Data engineering or event-driven architecture experience ・Kubernetes / Terraform / platform engineering experience ・Experience designing scalable design systems ・Knowledge of carbon accounting, GHG Protocol, or ESG frameworks ・Japanese language proficiency (JLPT N2+ preferred)

You may be a strong fit if: You’ve taken AI systems from demo to production You have strong architectural opinions shaped by real trade-offs You’ve managed infrastructure in production environments You care about climate change and want your engineering work to matter