Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

In-house product development

Top-Selling Points

Rate of Foreigners
Less Than

Frequency of English Usage
Less Than

In-house product development

Related Skills

Programming Language

Python

Management/System project Experience

Tech lead

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Business

Preferred

No Data

Job Description

【About the Company】
The company's mission is to "reinvent the value creation mechanism to advance humanity" by using cutting-edge Generative AI and LLM (Large Language Model) technology to help businesses transform.

They run a SaaS business that provides an AI agent specifically for engineers in the manufacturing sector. Their new PaaS business offers a service that structures a company's hidden data, turning it into a valuable asset.

Their main focus is on the R&D departments of major Japanese manufacturers. Already, over 300 companies—including 30% of the Nikkei 225—have implemented their services. The company plans to expand from manufacturing R&D to other enterprise companies in Japan, and eventually to global businesses.

The company is also dedicated to developing a purely domestic LLM with a strong grasp of the Japanese language and business domain. In May 2024, they released a 100-billion-parameter model.

In October 2024, they completed their Series D funding round, raising ¥4.5 billion and bringing their cumulative funding to ¥8.8 billion. With a workforce of 150 employees, they are now hiring more people to support their continued growth.

【Current Challenges】
The company launched a new business in 2024, and multiple PoC (Proof of Concept) projects aimed at enterprise clients are currently underway. While the team is actively striving for project success, they are facing several challenges:
・Verifying, developing, and operating the backend and cloud infrastructure for the new PaaS that provides a document analysis engine.
・Defining new resource requirements and interfaces.

【Your Role】
You will be responsible for the backend and infrastructure domains for a new business that promotes the use of Generative AI.
・As the first Lead Engineer for the new PaaS, you will autonomously lead development and drive projects from verification to implementation.
・You will communicate with Machine Learning Engineers who develop the document analysis engine, defining resource requirements and interfaces to advance development.
・You will advance development to solve challenges while communicating with the Product Manager.

【Responsibilities】
・Verifying, implementing, and operating the API and its infrastructure for the business document analysis engine.
・Designing, building, and operating the entire infrastructure in a multi-cloud environment (including RAG data pipelines and customer data management).
・Designing, building, and operating the data flow and network for the PaaS environment and customer system environments.

*The scope of your duties may change to encompass other development-related tasks.

【Team Composition】
・1 Frontend Engineer
・3 Machine Learning Engineers
・1 MLOps Engineer

【Development Environment】
[Organizational Structure]
<PaaS Unit>
・Product Manager: 1
<Structured Engine Development Team (Separate team but collaborates as needed)>
・MLOps Engineer: 1
・Machine Learning Engineer: 2

[Languages/Frameworks]
TypeScript, Vue.js, Node.js, Python
[Containers]
Docker
[IaC]
Terraform
[Cloud]
AWS, Azure

【Position Highlights】
・Technical Ownership: As the first Backend Engineer for a new business, you will be deeply involved in all technical decision-making, including technology selection and architecture design.
・Pioneering Service: You'll have the opportunity to build a service that achieves business document analysis, a feat that is currently not fully possible using only general-purpose LLMs or major cloud document analysis services.
・Real-World AI Application: You will gain hands-on experience in bringing LLM and multimodal AI into a scalable, live service.

Required Skills and Experiences

【Required】 *Meet all of the following ・3+ years of engineering experience ・Experience developing LLM or RAG systems ・Development experience using Python ・Service development/operations experience using AWS or Azure

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

■Salary increase (twice a year / May and November)

【About remote work】
■Basically, fully remote work
　Residence must be in Japan (no full remote work while residing overseas)
■Flexible remote/working options (no restrictions on the number of times you can come to the office)
　Each employee works while using the system according to his/her own circumstances.

There are people who work full remotely from Sendai, Kyoto, Osaka, etc., people who enjoy working while on vacation, foreign nationals who return to their home countries for a few weeks to work, and people who mainly come to work, making for a diverse work style.

【Welfare】
■Customer facing allowance (flat monthly amount of 20,000 yen *included in monthly salary)
　Free use for self-improvement and customer value improvement
　(purchase of books/attendance at seminars/equipment, etc.)
■Lump-sum allowance for preparation for remote work (flat rate of 50,000 yen in the first paycheck)
　Provided as an expense for preparation for remote work

【Others】
■Periodic health checkups (all paid by company)
■Influenza vaccination
■PC of your choice provided
■Free drinks such as water/coffee/carbonated drinks/alcohol provided at the office
■Office Glico installed

【Education and Skill Development】
■Onboarding for 5 days after employment is available
■Monthly study day system (for own skill improvement and learning purpose)

【Internal Communication】
■Weekly company-wide online meeting
■Monthly social gathering (offline, some online)
■Semi-annual kick-off (hybrid of online and offline meetings)

【Holidays and Vacations】
■123 days off per year
■Saturdays, Sundays and national holidays (2 days off per week)
■Year-end and New Year vacations
■Paid leave (granted at the time of employment *Number of days granted depends on the month of employment)
■Prenatal leave
■Childcare leave

RECRUITMENT PROCESS

Document screening and 2-3 interviews are scheduled.
*No tests, examinations, etc.

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

In-house product development

Top-Selling Points

Rate of Foreigners
Less Than

Frequency of English Usage
Less Than

In-house product development

Related Skills

Programming Language

Python

Management/System project Experience

Tech lead

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Business

Preferred

No Data

Job Description

【About the Company】
The company's mission is to "reinvent the value creation mechanism to advance humanity" by using cutting-edge Generative AI and LLM (Large Language Model) technology to help businesses transform.

They run a SaaS business that provides an AI agent specifically for engineers in the manufacturing sector. Their new PaaS business offers a service that structures a company's hidden data, turning it into a valuable asset.

Their main focus is on the R&D departments of major Japanese manufacturers. Already, over 300 companies—including 30% of the Nikkei 225—have implemented their services. The company plans to expand from manufacturing R&D to other enterprise companies in Japan, and eventually to global businesses.

The company is also dedicated to developing a purely domestic LLM with a strong grasp of the Japanese language and business domain. In May 2024, they released a 100-billion-parameter model.

In October 2024, they completed their Series D funding round, raising ¥4.5 billion and bringing their cumulative funding to ¥8.8 billion. With a workforce of 150 employees, they are now hiring more people to support their continued growth.

【Current Challenges】
The company launched a new business in 2024, and multiple PoC (Proof of Concept) projects aimed at enterprise clients are currently underway. While the team is actively striving for project success, they are facing several challenges:
・Verifying, developing, and operating the backend and cloud infrastructure for the new PaaS that provides a document analysis engine.
・Defining new resource requirements and interfaces.

【Your Role】
You will be responsible for the backend and infrastructure domains for a new business that promotes the use of Generative AI.
・As the first Lead Engineer for the new PaaS, you will autonomously lead development and drive projects from verification to implementation.
・You will communicate with Machine Learning Engineers who develop the document analysis engine, defining resource requirements and interfaces to advance development.
・You will advance development to solve challenges while communicating with the Product Manager.

【Responsibilities】
・Verifying, implementing, and operating the API and its infrastructure for the business document analysis engine.
・Designing, building, and operating the entire infrastructure in a multi-cloud environment (including RAG data pipelines and customer data management).
・Designing, building, and operating the data flow and network for the PaaS environment and customer system environments.

*The scope of your duties may change to encompass other development-related tasks.

【Team Composition】
・1 Frontend Engineer
・3 Machine Learning Engineers
・1 MLOps Engineer

【Development Environment】
[Organizational Structure]
<PaaS Unit>
・Product Manager: 1
<Structured Engine Development Team (Separate team but collaborates as needed)>
・MLOps Engineer: 1
・Machine Learning Engineer: 2

[Languages/Frameworks]
TypeScript, Vue.js, Node.js, Python
[Containers]
Docker
[IaC]
Terraform
[Cloud]
AWS, Azure

【Position Highlights】
・Technical Ownership: As the first Backend Engineer for a new business, you will be deeply involved in all technical decision-making, including technology selection and architecture design.
・Pioneering Service: You'll have the opportunity to build a service that achieves business document analysis, a feat that is currently not fully possible using only general-purpose LLMs or major cloud document analysis services.
・Real-World AI Application: You will gain hands-on experience in bringing LLM and multimodal AI into a scalable, live service.

Required Skills and Experiences

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

■Salary increase (twice a year / May and November)

【About remote work】
■Basically, fully remote work
　Residence must be in Japan (no full remote work while residing overseas)
■Flexible remote/working options (no restrictions on the number of times you can come to the office)
　Each employee works while using the system according to his/her own circumstances.

There are people who work full remotely from Sendai, Kyoto, Osaka, etc., people who enjoy working while on vacation, foreign nationals who return to their home countries for a few weeks to work, and people who mainly come to work, making for a diverse work style.

【Welfare】
■Customer facing allowance (flat monthly amount of 20,000 yen *included in monthly salary)
　Free use for self-improvement and customer value improvement
　(purchase of books/attendance at seminars/equipment, etc.)
■Lump-sum allowance for preparation for remote work (flat rate of 50,000 yen in the first paycheck)
　Provided as an expense for preparation for remote work

【Others】
■Periodic health checkups (all paid by company)
■Influenza vaccination
■PC of your choice provided
■Free drinks such as water/coffee/carbonated drinks/alcohol provided at the office
■Office Glico installed

【Education and Skill Development】
■Onboarding for 5 days after employment is available
■Monthly study day system (for own skill improvement and learning purpose)

【Internal Communication】
■Weekly company-wide online meeting
■Monthly social gathering (offline, some online)
■Semi-annual kick-off (hybrid of online and offline meetings)

【Holidays and Vacations】
■123 days off per year
■Saturdays, Sundays and national holidays (2 days off per week)
■Year-end and New Year vacations
■Paid leave (granted at the time of employment *Number of days granted depends on the month of employment)
■Prenatal leave
■Childcare leave

RECRUITMENT PROCESS

Document screening and 2-3 interviews are scheduled.
*No tests, examinations, etc.

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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