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

Cloud / Infrastructure / DevOps tools

AWS

Experienced area / job

Machine Learning

Management/System project Experience

Tech lead

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Daily Conversational

Preferred

No Data

Job Description

【Company Overview】
The company leverages cutting-edge Generative AI and Large Language Model (LLM) technology to drive corporate transformation.

Its primary strength lies in the technical capability to develop domestic LLMs from scratch. In May 2024, the company released a Japanese-specialized LLM with 100 billion parameters, making it one of the largest in Japan.

While many firms limit themselves to fine-tuning overseas models or utilizing open-source software (OSS), the company designs and builds its models from the ground up. The resulting performance is optimized for the Japanese language and business domains, boasting a standard that is among the highest for domestic models. Furthermore, it significantly reduces hallucinations and allows for safe operation under internal management.

Rather than being a mere "user of Generative AI," the company aims to be a "creator of AI," supporting Japan's industrial competitiveness through technology.

Leveraging this technical prowess, the company currently operates two main business lines: a SaaS business providing AI agents for the manufacturing industry, and a new PaaS business serving as a platform to support the implementation of operational AI.

Since its founding, the company has targeted enterprise clients and has already seen adoption by over 300 companies, including 30% of the Nikkei 225. Moving forward, the company plans to expand from manufacturing R&D to domestic enterprises, the broader Japanese market, and eventually global corporations.

In October 2024, the company completed a Series D funding round of 4.5 billion JPY, bringing its total funding to 8.8 billion JPY. With a workforce that has grown to approximately 150 employees, the company is now recruiting new talent to drive further growth.

【Current Challenges】
The company recently completed a 4.5 billion yen Series D funding round. To elevate its products to the next level, it is essential for the organization to accelerate value verification and drive the implementation of new features in close collaboration with product managers and designers.

As the company explores new strategic directions for its products, its user base continues to grow. This has created an urgent need to strengthen the development structure so it can simultaneously handle high-speed feature development, address client improvement requests, ensure stable operations, and enhance the development environment.

Furthermore, following the launch of a new business unit in 2024, multiple enterprise-level PoC projects are currently underway. While the team is working tirelessly toward their success, they are actively tackling ongoing challenges such as defining resource requirements and architecting new interfaces.

【Your Role】
You will be responsible for development across a wide range of areas, from the backend to infrastructure. In addition to core development, based on individual interests and aspirations, there are opportunities to take on architectural design for large-scale and high-complexity systems, development planning, project promotion in collaboration with Research and BizDev teams, and development team management. The company also plans to further drive development utilizing machine learning, with a focus on Natural Language Processing (NLP).

Key Responsibilities
・Developing features that leverage LLMs to summarize user-accumulated information and transform it into actionable insights.
・Feature development and performance optimization to provide high-quality, personalized information recommendations for each user.
・Designing and developing visualization features for insights derived from information shared within an organization.
・Leading the autonomous development of a new service (PaaS) as a founding engineer, driving the process from verification to implementation.
・Defining resource requirements and interfaces in collaboration with machine learning engineers developing document analysis engines.
・Driving development to solve business challenges through close communication with product managers.

You will play a pivotal role in evolving alongside the product by making full use of advanced technology.

【Assigned Teams】
You will be assigned to one of the following divisions:
・SaaS Product Engineering Division
・PaaS SAT Division

【Development Environment】
・Languages & Frameworks: Vue.js, TypeScript, Flutter, Ruby on Rails, Python, Terraform, Node.js, Golang
・Databases: RDB (Amazon Aurora MySQL), Elasticsearch (AWS OpenSearch), DynamoDB
・Infrastructure & Cloud Platforms:
　- Docker, AWS (ECS, Cognito, SQS, SES, Step Functions, IAM, CodeBuild, CodePipeline, CodeDeploy, etc.)
　- Datadog, SendGrid, CircleCI, Azure, etc.
・AI & LLM: Utilizing OpenAI and Azure OpenAI Service for specific features.

【Position Highlights】
■Engage in Advanced Search and Recommendation via LLM × SaaS Development
・The company is actively developing its own proprietary LLM. While its primary product, Anews, is a B2B SaaS, its nature as a news platform requires highly advanced recommendation and search technologies, offering opportunities to tackle high-difficulty development challenges.
・The environment allows engineers to attempt the commercialization of business document analysis—a feat not yet fully achieved by general-purpose LLMs or document analysis services from major cloud providers.
・Gain hands-on experience in bringing LLM and multimodal AI to life within actual, production-level services.

■Team-Based Development in Collaboration with PdM, Design, BizDev, and Research
・The company employs a feature-based development model where engineers interact closely with Product Managers (PdMs), Designers, BizDev, and Research teams.
・This environment enables professionals to focus on solving customer challenges while working alongside diverse roles to refine the product.

■A Flexible Work Environment
・The company supports flexible work styles tailored to individual lifestyles. With a high ratio of engineers, the organization deeply understands the importance of engineering.
・The average age is 36.7, and many members have extensive experience in the enterprise sector. This fosters a professional, composed atmosphere conducive to focused development.

Required Skills and Experiences

【Required】 *Meet any of the following ・5+ years of software development experience ・3+ years of experience in service development and operations using AWS ・Experience leading development teams as a Tech Lead or Lead Engineer ・Experience in machine learning development, with a focus on natural language processing 【Preferred】・Experience participating in technical communities and a passion for sharing knowledge through presentations and blog writing ・Experience building and improving products in collaboration with Product Managers and designers 【Ideal Applicants】・Capable of identifying and defining problems independently, rather than simply following given tasks, and creating the necessary solutions to address them. ・Possesses an intrinsic interest in technology and the ambition to become a leading expert in the field. ・Proactively communicates with the business side to strategize on how to deliver value to customers and drive revenue growth. 【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→interview/interview 2-3 times→offer of employment
Varies depending on the type of job.

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

Cloud / Infrastructure / DevOps tools

AWS

Experienced area / job

Machine Learning

Management/System project Experience

Tech lead

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Daily Conversational

Preferred

No Data

Job Description

【Company Overview】
The company leverages cutting-edge Generative AI and Large Language Model (LLM) technology to drive corporate transformation.

Its primary strength lies in the technical capability to develop domestic LLMs from scratch. In May 2024, the company released a Japanese-specialized LLM with 100 billion parameters, making it one of the largest in Japan.

While many firms limit themselves to fine-tuning overseas models or utilizing open-source software (OSS), the company designs and builds its models from the ground up. The resulting performance is optimized for the Japanese language and business domains, boasting a standard that is among the highest for domestic models. Furthermore, it significantly reduces hallucinations and allows for safe operation under internal management.

Rather than being a mere "user of Generative AI," the company aims to be a "creator of AI," supporting Japan's industrial competitiveness through technology.

Leveraging this technical prowess, the company currently operates two main business lines: a SaaS business providing AI agents for the manufacturing industry, and a new PaaS business serving as a platform to support the implementation of operational AI.

Since its founding, the company has targeted enterprise clients and has already seen adoption by over 300 companies, including 30% of the Nikkei 225. Moving forward, the company plans to expand from manufacturing R&D to domestic enterprises, the broader Japanese market, and eventually global corporations.

In October 2024, the company completed a Series D funding round of 4.5 billion JPY, bringing its total funding to 8.8 billion JPY. With a workforce that has grown to approximately 150 employees, the company is now recruiting new talent to drive further growth.

【Current Challenges】
The company recently completed a 4.5 billion yen Series D funding round. To elevate its products to the next level, it is essential for the organization to accelerate value verification and drive the implementation of new features in close collaboration with product managers and designers.

As the company explores new strategic directions for its products, its user base continues to grow. This has created an urgent need to strengthen the development structure so it can simultaneously handle high-speed feature development, address client improvement requests, ensure stable operations, and enhance the development environment.

Furthermore, following the launch of a new business unit in 2024, multiple enterprise-level PoC projects are currently underway. While the team is working tirelessly toward their success, they are actively tackling ongoing challenges such as defining resource requirements and architecting new interfaces.

【Your Role】
You will be responsible for development across a wide range of areas, from the backend to infrastructure. In addition to core development, based on individual interests and aspirations, there are opportunities to take on architectural design for large-scale and high-complexity systems, development planning, project promotion in collaboration with Research and BizDev teams, and development team management. The company also plans to further drive development utilizing machine learning, with a focus on Natural Language Processing (NLP).

Key Responsibilities
・Developing features that leverage LLMs to summarize user-accumulated information and transform it into actionable insights.
・Feature development and performance optimization to provide high-quality, personalized information recommendations for each user.
・Designing and developing visualization features for insights derived from information shared within an organization.
・Leading the autonomous development of a new service (PaaS) as a founding engineer, driving the process from verification to implementation.
・Defining resource requirements and interfaces in collaboration with machine learning engineers developing document analysis engines.
・Driving development to solve business challenges through close communication with product managers.

You will play a pivotal role in evolving alongside the product by making full use of advanced technology.

【Assigned Teams】
You will be assigned to one of the following divisions:
・SaaS Product Engineering Division
・PaaS SAT Division

【Development Environment】
・Languages & Frameworks: Vue.js, TypeScript, Flutter, Ruby on Rails, Python, Terraform, Node.js, Golang
・Databases: RDB (Amazon Aurora MySQL), Elasticsearch (AWS OpenSearch), DynamoDB
・Infrastructure & Cloud Platforms:
　- Docker, AWS (ECS, Cognito, SQS, SES, Step Functions, IAM, CodeBuild, CodePipeline, CodeDeploy, etc.)
　- Datadog, SendGrid, CircleCI, Azure, etc.
・AI & LLM: Utilizing OpenAI and Azure OpenAI Service for specific features.

【Position Highlights】
■Engage in Advanced Search and Recommendation via LLM × SaaS Development
・The company is actively developing its own proprietary LLM. While its primary product, Anews, is a B2B SaaS, its nature as a news platform requires highly advanced recommendation and search technologies, offering opportunities to tackle high-difficulty development challenges.
・The environment allows engineers to attempt the commercialization of business document analysis—a feat not yet fully achieved by general-purpose LLMs or document analysis services from major cloud providers.
・Gain hands-on experience in bringing LLM and multimodal AI to life within actual, production-level services.

■Team-Based Development in Collaboration with PdM, Design, BizDev, and Research
・The company employs a feature-based development model where engineers interact closely with Product Managers (PdMs), Designers, BizDev, and Research teams.
・This environment enables professionals to focus on solving customer challenges while working alongside diverse roles to refine the product.

■A Flexible Work Environment
・The company supports flexible work styles tailored to individual lifestyles. With a high ratio of engineers, the organization deeply understands the importance of engineering.
・The average age is 36.7, and many members have extensive experience in the enterprise sector. This fosters a professional, composed atmosphere conducive to focused development.

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→interview/interview 2-3 times→offer of employment
Varies depending on the type of job.

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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