G Talent

★AI Full-Cycle Engineer (Career Transition Welcome) | Featured Fintech Startup

* Business Japanese REQUIRED

 

★Hybrid Work

★Own Products/Services

★Life Support & Learning Support

★Annual salary: 7 million yen - 9 million yen

 

\-------------【About the company】-------------

 

A University of Tokyo-born startup leveraging big data and generative AI to support data utilization and digital transformation (DX), primarily for major enterprises.

The company operates businesses that support corporate decision-making by utilizing various alternative data—such as credit card data, POS data, and location data—as well as businesses that facilitate decision-making across society through data infrastructure construction support and generative AI development.

 

■Services & Solutions Offered

・Institutional Investor Analytics: Data analytics services utilizing POS and credit card transaction data.

・JCB Consumption Trend Index: Industry-by-industry consumer spending indicators built on JCB card payment data.

・Nikkei Daily Price Index: Daily inflation and price tracking metrics powered by Nikkei POS data.

・HRog Recruitment & Wage Indices: Job posting and offered wage indices derived from HRog recruitment advertising data.

・Commercial Real Estate DX Services: Data utilization and digital transformation solutions tailored for commercial real estate.

・Enterprise DX Solutions: AI- and data-driven end-to-end DX implementation services for corporate clients.

・Public Sector & Local Government Solutions: Analytics and Generative AI-powered solution services for public administration and municipal entities.

・Led by a "Snowflake Data Superhero":

The company's technology strategy is spearheaded by its VP of Data & AI, who holds the prestigious "Snowflake Data Superhero" designation—a globally recognized elite tech leader status awarded to only 128 individuals worldwide (and just 15 in Japan) for FY2026.

 

\-------------【 Job Description】-------------

 

■About the Company

A University of Tokyo-born startup leveraging big data and generative AI to support data utilization and digital transformation (DX), primarily for major enterprises.

The company operates businesses that support corporate decision-making by utilizing various alternative data—such as credit card data, POS data, and location data—as well as businesses that facilitate decision-making across society through data infrastructure construction support and generative AI development.

 

■Recruitment Background

Across its various business units, the company leverages Large Language Models (LLMs) to streamline operations and drive new value creation.

Driven by Generative AI, corporate transformation is accelerating through key initiatives—including the launch of new business ventures and the activation of a company-wide AI implementation taskforce. To further accelerate these projects, the company is actively recruiting engineers well-versed in Generative AI and LLMs who are eager to tackle the development of specialized AI systems and scalable AI infrastructure tailored to complex operational challenges.

 

■Responsibilities

You will be expected to be assigned to one of the following business units based on your background and preferences:

\*Specific team placement will be determined through mutual consultation, taking into account your experience and career goals.

 

1\. Financial Research Business

A business unit operating data services centered on alternative data. The division provides single-stock analytics services for institutional investors and private-sector statistical services. Currently, the unit is expanding its scope into leveraging AI to enhance investor decision-making and optimize complex operational workflows.

 

■Specifically:

・Extract quantitative metrics from earnings presentation materials and financial disclosures using LLMs, and construct reliable, automated data pipelines.

・Develop automated report generation systems for IR support and Paid Research initiatives.

・Scrape and structure actionable datasets crucial for investment decisions—such as e-commerce product pricing, reservation wait times, and web traffic indicators.

・Integrate AI solutions with Excel-based and custom financial models to automate complex reporting workflows.

・Design and build "AI-ready data infrastructure" (data layer) enabling government entities and institutional investors to directly plug clean data into proprietary analysis models and AI systems.

・Establish robust entity resolution, data cleansing, and structuring logic to ensure AI systems accurately parse massive volumes of alternative and public macro datasets without misinterpretation.

 

2\. Data AI Service Business

Accelerate enterprise digital transformation (DX) across sales, product development, and data utilization by combining cutting-edge Generative AI technology with proprietary corporate master databases (boasting class-leading coverage in Japan) and diverse third-party datasets.

 

This division consists of two primary service pillars:

Real Estate Unit (New Product Division for Commercial Real Estate & Retail Businesses)

A business unit providing a suite of data-driven SaaS products primarily for the real estate domain. In this role, you will leverage LLMs across key workflows, including:

・Extracting and parsing property details from PDF brochures (Maisoku).

・Scraping and structuring retail and shopping center datasets.

・Automating and optimizing targeted B2B sales development processes.

 

【Specifically】

・Development of real estate industry products (Maisoku property sheet parsing, shopping center scraping, sales automation, etc.)

・Development of real estate data analysis and sales support systems leveraging LLMs

・Evaluation and implementation of Generative AI usage in new products

Data Holder Unit (Corporate Data Utilization Infrastructure & Data Sales Delivery)

Driven by growing internal and external demand for corporate-related data, we aim to deliver high-frequency, high-precision data products by advancing in-house data collection and structuring.

Defining the mission of extracting information from corporate websites and filings such as annual securities reports and timely disclosures (PDF/XBRL) as "utilizing LLMs as a tool for data structuring," we are seeking dedicated engineers to take charge of designing and operating these data pipelines.

 

3\. Data AI Solution Business

A strategic unit that combines modern data infrastructure with Generative AI to empower enterprise decision-making.

By delivering an end-to-end, proprietary Data × AI tech stack—spanning Snowflake-based data platform engineering to AI agent governance frameworks (MCPass) and collaborative AI platforms (Finstage Cowork)—this division accelerates digital transformation primarily for major financial institutions and enterprise clients.

 

【Specifically】

・Design and development of core business systems utilizing LLMs

・Construction of scalable data platforms integrated with Generative AI

・AI technology research, rapid prototyping, and productionization support

 

■Position Highlights

・Deep Expertise in AI & LLM Systems:

Focus on high-impact Generative AI and LLM initiatives across internal AI platforms and enterprise products. Move beyond simple RAG or template applications to engineer task-specific AI systems, with direct exposure to cutting-edge capabilities like Model Context Protocol (MCP), AI agents, long-term memory architectures, and context engineering.

 

・Full-Stack Ownership & Architectural Freedom:

Take end-to-end ownership spanning data platform engineering, cloud infrastructure setup, AI integration layer construction, and Generative AI system development. Leverage a legacy-free data platform to design optimal architectures without technical debt, while gaining valuable experience deploying production-grade systems in high-precision domains like financial services.

 

・Pioneering Advanced AI Implementation:

Collaborate closely with specialized LLM/NLP and Document AI teams, driving improvements in Human-in-the-Loop workflows and AI execution logic. Directly spearhead enterprise-grade AI applications for workflow automation and decision analytics.

 

・Flexible Working Environment & Learning Support:

Balance continuous professional growth and work-life flexibility through full-remote work options, discretionary labor arrangements, an annual learning stipend of JPY 120,000, and housing allowances.

 

\[Technology Stack\]

Languages & Frameworks: Python, Vue.js, React

Data Engineering & Orchestration: dbt, Apache Airflow

Data Warehousing & Storage: Snowflake, Amazon Redshift

Infrastructure & Cloud: Terraform, AWS, Google Cloud, Microsoft Azure

AI & LLM Ecosystem: OpenAI API / Enterprise Suite

 

\-------------【 Requirements】-------------

 

Required

Development experience using Python

Experience utilizing LLMs in some capacity

(e.g., creating prototypes, publishing content such as LLM-related blog posts, or development experience using coding agents)

Interest in becoming an LLM engineer

 

Preferred

Development experience using large language models, whether in a professional or personal context

Basic knowledge and practical experience in natural language processing and machine learning

Development experience in cloud environments such as AWS, Google Cloud, or Azure

Experience in data engineering and the design and development of ETL processes

Experience with LLM fine-tuning

 

Ideal Applicants

・Customer-Centric Engineering: Consistently evaluates customer needs and reverse-engineers development priorities to deliver maximum impact.

・Product Ownership & Passion: Takes full personal ownership of product growth, driven by a deep dedication to delivering tangible customer value.

・Proactive Beyond Role Boundaries: Actively steps beyond defined domain boundaries to contribute to anything necessary for product success.

・Collaborative Leadership & Team-First Mindset: Solves complex challenges by engaging and aligning surrounding team members, prioritizing collective outcomes over individual achievements.

・Intellectual Curiosity & Practical Learning: Voraciously absorbs new concepts across engineering and product domain knowledge, seamlessly translating insights into business execution.

・Rigorous Attention to Detail: Embraces the hands-on, meticulous execution required to refine raw inputs into clean, high-value data and analytics.

 

\--------------------------------------------------

 

【Working Time 】

10:00～19:00

 

【 Welfare 】

・Full social insurance

・Incentive (trust-type SO) system available

・Commuting allowance

・Visa support

・No smoking indoors

 

Life Support

・Marriage leave and congratulatory money: Special paid leave (7 days) and congratulatory money (50,000 yen) are provided for marriages.

・Parental leave and congratulatory money: Special paid leave (5 days) and congratulatory money (500,000 yen per baby!) for the birth of a child. (500,000 yen per baby!!!)) are provided for the birth of a child.

・Support for congratulatory and mourning occasions: Special paid leave (3 to 7 days) is provided for marriage, childbirth, and of course, in case of any misfortunes that may occur.

・Consecutive vacation days: In addition to paid leave, employees are allowed to take 5 consecutive days off.

・Allowance for dependents: Up to 100,000 yen per month per person depending on the number of children before elementary school age

 

【 Holiday 】

・Saturday/Sunday/National Holiday

・Annual Paid Leave

・New Year Holiday

・Parental Leave

・Congratulations & Condolence Leave

・Summer Holiday

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Data

Support

Infrastructure

Automation

Cloud

Python

Data analytics

Wireframing/prototyping

Amazon

Azure

Google Cloud Platform

Research

Analysis

Vue.js

React

Big Data

Data warehouse

Data Pipelines

Machine Learning

Growth

Project management

Database

Data Engineering

Apache HTTP Server

Operations

Payment systems

Rapid Prototyping

E-commerce

Web Development

Internet Advertising

SaaS

Terraform

Content management

Enterprise Development

Platform

Apache Airflow

Snowflake

Amazon Redshift

OpenAI

Data Analysis Services Company  | AI Full-Cycle Engineer  | Hybrid Work| Japanese Business Level