Business Overview
You will be responsible for one of the following businesses.
[Details of work]
① Products that use generated AI (Data AI Solution business)
Design and development of LLM business systems
· Build a data foundation with generative AI
Research, prototyping and practical support for AI technologies
② Commercial real estate, store commercial new products (Real Estate Unit)
· Developing products for the real estate industry (My Quick Read, SC Crawling, Sales Automation, etc.)
Develop a real estate data analysis and sales support system utilizing LLM
· Discussion and implementation of the use of AI generated in new products
Investor Solutions (Financial Reserch Unit)
· Use LLM to extract quantitative indicators from settlement instructions, etc., and build data pipelines
Automatically generate settlement snapshot reports (for IR support, paid research)
· Screening and structuring of data useful for investment judgments (commodity unit prices on e-commerce websites and waiting times on booking websites, etc.)
· Reporting business automation by combining financial models such as Excel with AI
④ Collection, structuring and productization of data related to legal persons (Data Holder Unit)
Data pipeline construction: Combining scraper, OCR, LLM, extracting information from unstructured data (portfolio reports, timely disclosures, web pages, etc.), designing and applying structured ETL foundations
LLMOps/Quality Monitoring: Building for LLThe accuracy evaluation system of M random output improves the monitoring system and continuously monitors the accuracy changes when the model is updated.
Structured quality assurance: Combination of operator checks and automated AI evaluation to establish a mechanism that balances reliability and efficiency of large-scale data extraction
■Related Services
[Norcaster]
Finatext Advisory Assist
A business support backbone system specializing in asset utilization, part of the BaaS (Banking as a) provided by Finatext Holdings, provides a range of business systems required for API-based asset operation services.
This product integrates the 1st party data + backbone system + generated artificial intelligence to achieve a high degree of efficiency in the business of financial institutions.
Finatext Group's Norcaster begins offering “Finatext Advisory Assist” to help financial advisory businesses become more efficient with artificial intelligence
https://nowcast.co.jp/news/20240419/
naucast collaborates with the Insurance Revaluation Group on the use of Generative AI in the business activities of insurance agents
https://nowcast.co.jp/news/20240905/
Start providing Finatext Advisory Assist for corporate insurance business using intent data and AI generation to support insurance legal person business
https://finatext.com/fn/news/20250404
< snowcast >
A framework for quickly and flexibly building a modern data foundation.
Based on the data cloud "Snowflake", the data foundation and data operation environment can be built to cope with the AI era.
It can be flexibly deployed according to the business and needs of each enterprise, and the establishment efficiency of the enterprise data utilization foundation can be improved.
now cast begins to provide the data infrastructure building framework "SnowCast" in the AI era
https://nowcast.co.jp/news/20250530/
< Other Project Cases >
It has also participated in many generative AI projects at the practical application stage of co-creation with enterprises.
· Developing in-house AI applications based on the ideas of Nissan Asset Management employees
https://nowcast.co.jp/news/20240731
Naucast builds AI-mo for Amstel Insurance Services
https://nowcast.co.jp/news/20250716/
Norcaster develops generative AI application "TMAM AI" for Tokio Marine Asset Management employees
https://nowcast.co.jp/news/20250819/
< datalenshub >
Data activation SaaS family that provides industry-specific decision support.
isA SaaS product that combines real-time data owned by now casto with external data to provide data-driven decision support for industry-specific business topics.
Applied to the early discovery of potential customers and items in good condition, analysis of the commercial real estate market, etc., the actual installation on the business site is also constantly advancing.
now caste begins to provide industry-specific data using the SaaS "DataLensHub" series to quickly discover high-precision leads and high-quality properties
https://nowcast.co.jp/news/20250205/
DataLens Store Development | Commercial Real Estate Market Data Visualization Analytics SaaS Offering Begins
https://lp.datalenshub.com/property
[Finatext]
Any one of the following homegrown SaaS products.
< Securities business platform "BaaS" >
SaaS-based digital insurance system "Inspire"
requirements
Experience in the development of a programming language
Product development experience using AI/LLM generation
• Experience with SaaS services related to generating AI/LLM
preferred experiences
Experience in improving LLM performance by prompting engineering contextual engineering
LLM model fine-tuning and benchmarking experience
Basic knowledge and work experience in natural language processing and machine learningData engineering and ETL process design and development experience
Experience building infrastructure on the cloud such as AWS
Experience building cloud infrastructure with IaCs like Terraform
Experience developing and operating container-based applications
• Experience in performance tuning of databases, networks, etc.
Knowledge of secure coding
English proficiency in daily conversations required to communicate with a team of Vietnamese engineers
We are looking for
· Ability to develop customer-oriented
Frequently think about what the customer wants, and thereby reverse the prioritization of development.
· Ownership of product growth
Treat product growth as your own business and be passionate about delivering value to your customers through your products.
As long as it is for the growth of the product, you can actively contribute to things other than your own responsibility.
· Leads others to move things forward
When solving a problem, not solving it alone, but advancing with the members around you.
Is able to prioritize team outcomes over own outcomes.
Curious and eager to learn
Learning in the field of engineering is self-evident, and you can greedily enter all kinds of knowledge required for product improvement.
What you learn doesn't end there, it can be applied to your business.
· Ability to be vulgar and detail-oriented
For clean data and valuable analysis, every corner of the data can be carried out meticulously and meticulously.