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AI Full-Cycle Engineer (Fintech Startup)

g talent • Japan
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AI Summary

Seeking an AI Full-Cycle Engineer for a featured fintech startup, requiring strong Japanese (N1) and business-level English. This hybrid role involves owning products and services, leveraging generative AI and LLMs for data utilization and digital transformation. Offers life and learning support with an annual salary of 9-15 million yen.

Key Highlights
Full-cycle ownership of AI products and services, from data infrastructure to AI system development.
Leverage cutting-edge Generative AI and LLM capabilities for enterprise digital transformation.
Hybrid work environment with significant learning support and life benefits.
Key Responsibilities
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.
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
Designing and operating data pipelines for extracting information from corporate websites and filings such as annual securities reports and timely disclosures (PDF/XBRL) utilizing LLMs as a tool for data structuring.
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

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Technical Skills Required
Generative AI LLMs Python
Benefits & Perks
Annual salary: 9 million yen - 15 million yen
Hybrid Work
Life Support & Learning Support
Visa support
Commuting allowance
Full social insurance
Incentive (trust-type SO) system
Marriage leave and congratulatory money
Parental leave and congratulatory money
Support for congratulatory and mourning occasions
Consecutive vacation days
Allowance for dependents

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Nice to Have
Experience improving LLM performance through prompt engineering and context engineering
Experience with LLM model fine-tuning and benchmarking
Basic knowledge and practical experience in natural language processing and machine learning
Experience designing and developing data engineering and ETL processes
Experience building infrastructure on cloud platforms such as AWS
Experience building cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform
Experience developing and operating container-based applications
Experience tuning system performance, including databases and networks
Knowledge of secure coding practices

Job Description

★AI Full-Cycle Engineer | Featured Fintech Startup

  • Business Japanese REQUIRED (N1 Level)

★Hybrid Work

★Own Products/Services

★Life Support & Learning Support

★Annual salary: 9 million yen - 15 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.

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Job Overview
Posted Date Sep 30, 2026
Employment Type Full-time
Experience Level Associate
Location Japan
Category Devops
Company g talent
Mentioned Skills
ai etl natural language processing saas prototyping aws terraform cloud infrastructure as code excel big data data analysis machine learning

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