Corporate DX/AX Systems Engineer

This position is the first dedicated engineer for an initiative to redesign corporate operations around AI. It initially belongs to the CTO Office and works closely with executives and specialists in Legal, Compliance, Risk Management, HR and Accounting. The initial focus is Legal, Compliance and Risk Management, with possible starts in HR or Accounting depending on the candidate’s experience and interests. After validation progresses, the company plans to build a team of about three engineers through internal transfers and hiring.

The role maps current operations with business teams and determines which work should be streamlined, enhanced or expanded with AI, and which work should remain with people. It designs and builds data foundations that capture the basis and history of decisions as part of normal operations. Regulations, contracts, past decisions and evaluation records are structured with source information and timestamps, kept loosely coupled from business applications, and prepared for connection to the company-wide UPSIDER World Model decision platform.

Responsibilities include requirements definition, architecture, implementation and operation of LLM-enabled business systems. The systems may include retrieval-augmented generation, evidence references to reduce hallucinations, audit trails and access controls. The engineer also designs and maintains evaluation datasets for each business process, connects them to the existing company-wide evaluation platform, and establishes measurement. The stated approach uses common quantitative KPIs for efficiency work and evaluation gates that verify capability for enhancement work. Models are selected according to the company-wide policy and the characteristics of each operation, including sensitive-data handling, cost and latency.

Expected projects include implementing regulatory requirements and internal rules in systems to make compliance work systematic and moving risk management toward prevention and prediction. HR projects cover a shared data foundation across recruiting, placement, evaluation and development, with the aim of improving reproducibility and explainability in personnel decisions. Accounting projects cover real-time analysis of accounting and transaction data, early detection of abnormal or potentially fraudulent transactions, and system-based audit trails and internal controls. Data from corporate decisions and evaluations is also prepared for continuous contribution to the company-wide decision platform.

The engineer participates across the full lifecycle, from business analysis and requirements definition through architecture, implementation, evaluation and operations. The work involves close collaboration with specialists in Legal, HR and Accounting, combining their domain knowledge with system design and AI implementation. Governance, security, accountability, access control and traceability of decision grounds are important because the systems handle confidential, personal and financial information.

The standard foundation layer uses Google Cloud, BigQuery, Terraform and dbt for cloud, analytics, infrastructure as code and data modeling. The application-side configuration will be decided after joining through discussion based on the target work and data. Technologies used in other internal projects include Python, Go, TypeScript, Claude, Gemini, open-weight models, Google Cloud Platform, Next.js, FastAPI, Cloud Build, Dataform, Docker, GitHub, Slack, GitHub Copilot, Cursor and Claude Code.

The job location is Tokyo Office, while the title states full remote work and full flextime. The selection process consists of entry, a casual interview, document screening, several interviews including a technical assignment, and an offer.