Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Top-Selling Points

Rate of Foreigners
Less Than

Frequency of English Usage
Less Than

Related Skills

Experienced area / job

Deep Learning Machine Learning

Programming Language

Python

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Business

Preferred

No Data

Job Description

【Overview】
The company leverages cutting-edge Generative AI and LLM technology to drive corporate transformation. Its primary strength lies in the technical capability to develop domestic LLMs from scratch. In May 2024, the organization released one of Japan’s largest Japanese-specific LLMs, featuring 100 billion parameters.

While many companies limit themselves to fine-tuning overseas models or utilizing open-source software (OSS), the company designs and builds its models from the ground up. Optimized for the Japanese language and business domains, its performance boasts a standard that is among the highest for domestic models. Furthermore, it has significantly reduced hallucinations, allowing for safe operation under internal management.

Rather than being a mere "user of Generative AI," the company aims to be an "AI creator" that supports Japan's industrial competitiveness through technology. Utilizing this technical prowess, it is expanding its business operations, currently providing AI agents for the manufacturing industry as a SaaS business and an operational AI implementation support platform as a new PaaS venture.

Targeting enterprise companies since its founding, the company has already seen adoption by over 300 firms, representing 30% of the Nikkei 225. Moving forward, it plans to expand from manufacturing R&D to domestic enterprise companies, the Japanese business sector as a whole, and eventually to global corporations.

In October 2024, the company completed a Series D funding round of 4.5 billion yen, bringing its total funding to 8.8 billion yen. With the workforce now reaching 150 members, the organization is recruiting new talent to achieve further growth!

【Current Challenges】
As PoC projects for enterprise clients increase, there is a rapidly growing need to utilize documents that contain not only text but also drawings and diagrams (Visual RAG). While the application of VLM (Vision-Language Model) is key, several challenges remain regarding "accuracy, cost, speed, and reliability" for production-level implementation.

Currently, the company seeks to strengthen its R&D resources to handle everything from executing VLMs-based document structuring PoCs to improving operations and building pipelines for integrating these capabilities into the product as stable features.

【Your Role】
You will lead the research, development, and validation efforts to improve the reliability and functionality of document structuring by leveraging cutting-edge technologies such as VLM. Your role goes beyond simple PoCs; you will be responsible for refining these technologies into "practical, production-ready solutions" built for real-world operations.

■Responsibilities
・Construction and improvement of document structuring pipelines utilizing VLM.
・Enhancement of VLM output accuracy through prompt tuning and the development of validation functions.
・Technical verification and execution of PoCs tailored to client challenges, such as blueprint analysis.
*Scope of changes: Development-related operations.

【Team Composition】
<PaaS Unit>
Business Head (CEO): 1
Head of Development: 1
Product Engineers: 7
RAG Engineers: 5
Machine Learning Engineers: 3
Product Manager: 1
Researcher: 1
Customer Success (CS): 1
Business Development (Biz): 3
New Business Planning: 5

【Development Environment】
Languages / Frameworks: Python, TypeScript, Vue.js, Node.js
Containerization: Docker
Infrastructure as Code (IaC): Terraform
Cloud Platforms: AWS, Azure

【Position Highlights】
・Ability to develop and maintain environments that move cutting-edge technologies like VLM and Multimodal AI beyond the laboratory level and into "actual production."

・Opportunity to participate in developing solutions that are not yet established in the market, such as RAG systems specialized for diagrams and charts.

・Access to themes that allow for deep technical exploration, including model operational improvements and pipeline construction, rather than being limited solely to PoC support.

Required Skills and Experiences

【Required】 *Meet all of the following ・Completed a graduate degree in science or engineering. ・Experience in application development or conducting PoCs utilizing LLMs or VLMs. ・Experience in R&D or service development using Python. ・Understanding of the fundamental mechanisms of RAG (Retrieval-Augmented Generation). ・Ability to research and verify unknown technical domains, particularly regarding multimodal models. 【Preferred】・Knowledge of image processing and Computer Vision (OCR, layout analysis, object detection, etc.). ・Experience in comparative validation of multiple VLM models and designing pipeline architectures. ・Ability to conduct research using academic papers (ArXiv, etc.) and translate findings into practical implementation. ・Experience in translating client business challenges into technical requirements and proposing effective solutions. 【Ideal Applicants】・Strong intellectual curiosity regarding the latest AI technologies (especially VLM/Multimodal) and a passion for following technology trends. ・Ability to find solutions for highly uncertain technical challenges through iterative experimentation and verification. ・Capability to think beyond "what VLM can do" and focus on "how to make it production-ready" (considering cost, speed, and accuracy). ・Possession of a positive, challenging spirit and the ability to drive development forward in collaboration with a team. 【Others】・Able to reside in Japan ・Able to communicate fluently in Japanese, including on technical development matters *Required level: Conversational

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Working Condition

【Holidays and Vacations】
・Annual Holidays: 123 days
・Weekends and Holidays: Fully managed two-day weekend system (Saturdays, Sundays, and National Holidays)
・New Year’s Holiday
・Paid Leave: Granted upon joining the company (*The number of days granted depends on the month of enrollment)
・Maternity Leave (Pre-natal and Post-natal)
・Childcare Leave

【Insurance】
Full social insurance coverage (The company is a member of the Kanto IT Software Health Insurance Association)

【Others】
・Commuting allowance (reimbursed as actual costs due to remote work)
・Growth acceleration allowance (subsidies for self-improvement and AI utilization; up to 240,000 JPY per year can be claimed as expenses)
・Periodic health checkups
・Influenza vaccination
・Provision of preferred PC
・Free beverages provided in the office (water, coffee, sparkling water, alcohol, etc.)
・Office Glico (snack service) available
・Indoor non-smoking policy (designated outdoor smoking areas available)

【Education and Skill Development】
・Onboarding: A five-day onboarding program is provided upon joining the company.
・Monthly Research Day: A dedicated monthly research day is established for the purpose of self-improvement and technical learning.

【Internal Communication】
・Weekly All-Hands Online Meeting
・Monthly Social Gathering: Held once a month (primarily offline, with some online participation options).
・Semi-Annual Kickoff: Held twice a year as a hybrid event (combining online and offline formats).

RECRUITMENT PROCESS

Document screening → 2-3 interviews → informal offer
The minimum requirement to pass the document screening is to meet the essential requirements.

Business (description what they do)

Recruiting business specializing in job change support for foreign IT personnel

Available Jobs in (G Talent)

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Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Top-Selling Points

Rate of Foreigners
Less Than

Frequency of English Usage
Less Than

Related Skills

Experienced area / job

Deep Learning Machine Learning

Programming Language

Python

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Business

Preferred

No Data

Job Description

【Overview】
The company leverages cutting-edge Generative AI and LLM technology to drive corporate transformation. Its primary strength lies in the technical capability to develop domestic LLMs from scratch. In May 2024, the organization released one of Japan’s largest Japanese-specific LLMs, featuring 100 billion parameters.

While many companies limit themselves to fine-tuning overseas models or utilizing open-source software (OSS), the company designs and builds its models from the ground up. Optimized for the Japanese language and business domains, its performance boasts a standard that is among the highest for domestic models. Furthermore, it has significantly reduced hallucinations, allowing for safe operation under internal management.

Rather than being a mere "user of Generative AI," the company aims to be an "AI creator" that supports Japan's industrial competitiveness through technology. Utilizing this technical prowess, it is expanding its business operations, currently providing AI agents for the manufacturing industry as a SaaS business and an operational AI implementation support platform as a new PaaS venture.

Targeting enterprise companies since its founding, the company has already seen adoption by over 300 firms, representing 30% of the Nikkei 225. Moving forward, it plans to expand from manufacturing R&D to domestic enterprise companies, the Japanese business sector as a whole, and eventually to global corporations.

In October 2024, the company completed a Series D funding round of 4.5 billion yen, bringing its total funding to 8.8 billion yen. With the workforce now reaching 150 members, the organization is recruiting new talent to achieve further growth!

【Current Challenges】
As PoC projects for enterprise clients increase, there is a rapidly growing need to utilize documents that contain not only text but also drawings and diagrams (Visual RAG). While the application of VLM (Vision-Language Model) is key, several challenges remain regarding "accuracy, cost, speed, and reliability" for production-level implementation.

Currently, the company seeks to strengthen its R&D resources to handle everything from executing VLMs-based document structuring PoCs to improving operations and building pipelines for integrating these capabilities into the product as stable features.

【Your Role】
You will lead the research, development, and validation efforts to improve the reliability and functionality of document structuring by leveraging cutting-edge technologies such as VLM. Your role goes beyond simple PoCs; you will be responsible for refining these technologies into "practical, production-ready solutions" built for real-world operations.

■Responsibilities
・Construction and improvement of document structuring pipelines utilizing VLM.
・Enhancement of VLM output accuracy through prompt tuning and the development of validation functions.
・Technical verification and execution of PoCs tailored to client challenges, such as blueprint analysis.
*Scope of changes: Development-related operations.

【Team Composition】
<PaaS Unit>
Business Head (CEO): 1
Head of Development: 1
Product Engineers: 7
RAG Engineers: 5
Machine Learning Engineers: 3
Product Manager: 1
Researcher: 1
Customer Success (CS): 1
Business Development (Biz): 3
New Business Planning: 5

【Development Environment】
Languages / Frameworks: Python, TypeScript, Vue.js, Node.js
Containerization: Docker
Infrastructure as Code (IaC): Terraform
Cloud Platforms: AWS, Azure

【Position Highlights】
・Ability to develop and maintain environments that move cutting-edge technologies like VLM and Multimodal AI beyond the laboratory level and into "actual production."

・Opportunity to participate in developing solutions that are not yet established in the market, such as RAG systems specialized for diagrams and charts.

・Access to themes that allow for deep technical exploration, including model operational improvements and pipeline construction, rather than being limited solely to PoC support.

Required Skills and Experiences

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

【Holidays and Vacations】
・Annual Holidays: 123 days
・Weekends and Holidays: Fully managed two-day weekend system (Saturdays, Sundays, and National Holidays)
・New Year’s Holiday
・Paid Leave: Granted upon joining the company (*The number of days granted depends on the month of enrollment)
・Maternity Leave (Pre-natal and Post-natal)
・Childcare Leave

【Insurance】
Full social insurance coverage (The company is a member of the Kanto IT Software Health Insurance Association)

【Others】
・Commuting allowance (reimbursed as actual costs due to remote work)
・Growth acceleration allowance (subsidies for self-improvement and AI utilization; up to 240,000 JPY per year can be claimed as expenses)
・Periodic health checkups
・Influenza vaccination
・Provision of preferred PC
・Free beverages provided in the office (water, coffee, sparkling water, alcohol, etc.)
・Office Glico (snack service) available
・Indoor non-smoking policy (designated outdoor smoking areas available)

【Education and Skill Development】
・Onboarding: A five-day onboarding program is provided upon joining the company.
・Monthly Research Day: A dedicated monthly research day is established for the purpose of self-improvement and technical learning.

【Internal Communication】
・Weekly All-Hands Online Meeting
・Monthly Social Gathering: Held once a month (primarily offline, with some online participation options).
・Semi-Annual Kickoff: Held twice a year as a hybrid event (combining online and offline formats).

RECRUITMENT PROCESS

Document screening → 2-3 interviews → informal offer
The minimum requirement to pass the document screening is to meet the essential requirements.

Business (description what they do)

Recruiting business specializing in job change support for foreign IT personnel

Available Jobs in (G Talent)

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AI R&D Engineer (VLM / Multimodal / LLM New Business)

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