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

Programming Language

Cloud / Infrastructure / DevOps tools

Kubernetes

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Business

Preferred

No Data

Job Description

【Company Overview】
The company's mission is "to realize a happy society through solving social issues using AI," and it is working to create a wide variety of services utilizing its unique AI technology and AI platform as solutions for improving labor productivity in an aging society with a declining birthrate.

Founded in 2016, the company went public in November 2021. Its performance continues to grow year by year, and the market is particularly favorable in fiscal year 2023 due to the explosive spread of generative AI. It is predicted that conversational AI will be integrated into 40% of enterprise applications by 2024. The company's sales in fiscal year 2023 were approximately ¥8.3 billion, and its headcount has expanded to around 400 at the headquarters alone. With the acquisition of two subsidiaries and the inclusion of one company in its group, the business environment is dynamically evolving, and they are seeking more colleagues to realize new services and businesses aimed at solving social issues.

【Product Overview】
The company has built a development platform that brings developers closer to the operational sites. This platform allows for the seamless creation of AI software by combining internal and external AI models, services, and data.

Speedy, Iterative Development
The platform is designed to allow for rapid, simple development and incremental improvement. Many companies face a dilemma where they want to improve based on on-site feedback, but redesigning production systems and improving infrastructure create a huge burden. This product solves that problem: its simple, visual UI allows anyone to build AI software, enabling project promotion unconstrained by resource or organizational issues. Furthermore, the AI technology integrated into the product is constantly updated with the company's accumulated expertise, ensuring users always have access to the latest technical level of AI software.

API Integration with Client Data
The platform allows clients to connect their proprietary internal data as well as data that was previously downloaded and processed from various tools. This significantly reduces manual labor and enables the creation of custom modeling and business improvement applications using specific data sets.

The company aims to use this development environment to create AI implementation use cases that transform operations across diverse industries and domains, and they are currently receiving high demand. They are recruiting members to turn these needs into reality and, simultaneously, to establish standardized best practices for AI development offerings using this product.

【Desired Vision】
AI projects frequently stall after the Proof of Concept (PoC) phase, failing to reach practical use. Technical hurdles like "accuracy achieved, but systemization is too difficult," "high operational burden," or "lack of IT resources to embed the AI" cause valuable technology to remain unused.

The company's product aims to overcome this "PoC dead end" by transforming AI into a functional, on-site product. The GUI-based development environment allows for the rapid systemization of PoC-stage AI models and adapts them for enterprise use, making it possible to create "AI that is actually used" in business operations.

Democratizing AI x Business Application Development for Rapid Value Delivery
While AI is often seen as a domain reserved for engineers, this product is based on an entirely different concept. It is a development platform designed to usher in an era where "anyone can incorporate AI into their work." By leveraging a low-code/no-code environment, users without deep AI expertise can deploy to a production environment in just a few weeks. This empowers those on the business front lines to design, test, and operate AI-powered business improvements themselves. This speed and flexibility are fundamentally changing the traditional AI implementation process.

Breaking Down Corporate AI Barriers to Drive Cross-Industry Transformation
AI is no longer a "special technology used only by a few large enterprises." Its potential is expanding across all industries, including manufacturing, finance, energy, medicine, and logistics. However, the recurring challenge is "how to implement and operate it."

The company's product functions as the platform to overcome this barrier, allowing AI applications that would traditionally take a year to develop to be deployed to a production environment in just a few weeks. This speed and agility are accelerating cross-industry transformation.

【Responsibilities】
As a Tech Lead candidate for the Platform team, you will be responsible for the following:
・Formulating development policies in collaboration with the PdM.
・Leading technical strategy and selection.
・Managing the development team and projects.

Specifically, you will be responsible for the following tasks:
・Formulating development policies and roadmaps.
・Leading technical strategy and technology selection.
・Leading the planning, design, and development of the entire system (frontend, backend, cloud infrastructure (AWS, Kubernetes, etc.)) as well as hands-on work.
・Improving product and code quality through code reviews and various tests.
・Managing the development team, including assigning tasks to members.

【Technology Stack】
Infrastructure: AWS, Azure, GCP, Kubernetes
Backend: Go
Frontend: TypeScript, React, Vue.JS
Others: Operator, Visual Studio Code

【Opportunities Gained Through This Position】
As this is a service that will become a pillar of the company's next stage of business, there will be many challenging opportunities, and you can be involved as a core member contributing to the product's growth.
Since it will be a PaaS service rather than a simple SaaS, you will be involved in all technical domains, including cloud infrastructure, frontend, backend, and security, allowing you to gain experience as a full-stack engineer.
You will be in an environment where you use English on a daily basis due to the global engineering team that includes overseas members.

Required Skills and Experiences

■Required ・3+ years of experience in cloud infrastructure architecture design and system development. ・Experience using Kubernetes. ・Development experience using Go. ・Development experience or understanding of Node.js and Python. ・Business level Japanese communication skills (N1 Level)

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

Discretionary Work System (Come at any hour and leave at any hour)
Discretionary Work System
Some Telecommuting(Some Telecommuting)
None/None
Monthly income: 12 installments of annual income
Minimum 670,000 yen (495,680 yen base salary, 174,320 yen for 45 hours of deemed overtime)
Upper limit of 1,090,000 yen (base salary of 806,470 yen, 283,530 yen for 45 hours of deemed overtime)
Additional pay for overtime work in excess of 45 hours
To be determined in accordance with the Company's regulations, taking into consideration experience, ability, and expectations.
Sign-on bonus may be paid separately.
Discretionary work system
Sick Leave
Summer Holiday
Condition Leave
Return Leave
Saturday/Sunday/National Holiday
Others
New Year Holiday
Congratulations &amp; Condolence Leave
Annual Paid Leave
Commuting Allowance
Full Social Insurance
Employee Shareholding System
Training/Self Development Allowance 
Preferred PC
Holidays
2 days off per week (Saturdays, Sundays, and national holidays)
3 to 10 days of paid vacation per year (the minimum number of days is the number of days granted immediately after joining the company)
120 days off per year

Annual paid holidays (3 days granted on the day of joining the company, with an additional day granted after 3 months of employment. Can be taken in half days), Refreshment leave (5 weekdays per year), Year-end and New Year holidays, Celebration or condolence leave, Marriage leave (for you and your children), Condition leave (during probationary period: 3 days)

Benefits
Commuting allowance, health insurance, employee pension insurance, unemployment insurance, workers' accident compensation insurance

＜Supplemental Allowances and Systems
Commuting allowance: Up to 35,000 yen per month
Social insurance: Social insurance is provided.

&lt;Retirement age
60 years old

&lt;Side job
Permitted

&lt;Maternity leave taken
Yes

&lt;Supplemental education and qualification support
Purchase of books (all expenses paid by the company)
Study sessions (at least once a week during work hours)
Support system for doctoral course, etc.
We have a full technical training system.

＜Other Supplemental Benefits
Business trip allowance
Shareholding association (with incentive)
Health checkups, online medical consultation (first call)
Maternity/paternity leave, nursing care leave
Vaccine leave (special leave)
■Return leave (2 days granted for visiting family members in remote areas more than 1,000 km away)
Babysitter subsidy system, gift money for enrolling a child in preschool, and nursing care allowance
Shuffle lunch/shuffle tea
Free dress code
■Loan of PC with desired specs
■Various club activities available

RECRUITMENT PROCESS

Document screening
First round interview
Second interview
Final interview
Offer of employment
Offer interview
The number of times of selection may increase or decrease depending on the case.

Business (description what they do)

Recruiting business specializing in job change support for foreign IT personnel

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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

Programming Language

Cloud / Infrastructure / DevOps tools

Kubernetes

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Business

Preferred

No Data

Job Description

【Company Overview】
The company's mission is "to realize a happy society through solving social issues using AI," and it is working to create a wide variety of services utilizing its unique AI technology and AI platform as solutions for improving labor productivity in an aging society with a declining birthrate.

Founded in 2016, the company went public in November 2021. Its performance continues to grow year by year, and the market is particularly favorable in fiscal year 2023 due to the explosive spread of generative AI. It is predicted that conversational AI will be integrated into 40% of enterprise applications by 2024. The company's sales in fiscal year 2023 were approximately ¥8.3 billion, and its headcount has expanded to around 400 at the headquarters alone. With the acquisition of two subsidiaries and the inclusion of one company in its group, the business environment is dynamically evolving, and they are seeking more colleagues to realize new services and businesses aimed at solving social issues.

【Product Overview】
The company has built a development platform that brings developers closer to the operational sites. This platform allows for the seamless creation of AI software by combining internal and external AI models, services, and data.

Speedy, Iterative Development
The platform is designed to allow for rapid, simple development and incremental improvement. Many companies face a dilemma where they want to improve based on on-site feedback, but redesigning production systems and improving infrastructure create a huge burden. This product solves that problem: its simple, visual UI allows anyone to build AI software, enabling project promotion unconstrained by resource or organizational issues. Furthermore, the AI technology integrated into the product is constantly updated with the company's accumulated expertise, ensuring users always have access to the latest technical level of AI software.

API Integration with Client Data
The platform allows clients to connect their proprietary internal data as well as data that was previously downloaded and processed from various tools. This significantly reduces manual labor and enables the creation of custom modeling and business improvement applications using specific data sets.

The company aims to use this development environment to create AI implementation use cases that transform operations across diverse industries and domains, and they are currently receiving high demand. They are recruiting members to turn these needs into reality and, simultaneously, to establish standardized best practices for AI development offerings using this product.

【Desired Vision】
AI projects frequently stall after the Proof of Concept (PoC) phase, failing to reach practical use. Technical hurdles like "accuracy achieved, but systemization is too difficult," "high operational burden," or "lack of IT resources to embed the AI" cause valuable technology to remain unused.

The company's product aims to overcome this "PoC dead end" by transforming AI into a functional, on-site product. The GUI-based development environment allows for the rapid systemization of PoC-stage AI models and adapts them for enterprise use, making it possible to create "AI that is actually used" in business operations.

Democratizing AI x Business Application Development for Rapid Value Delivery
While AI is often seen as a domain reserved for engineers, this product is based on an entirely different concept. It is a development platform designed to usher in an era where "anyone can incorporate AI into their work." By leveraging a low-code/no-code environment, users without deep AI expertise can deploy to a production environment in just a few weeks. This empowers those on the business front lines to design, test, and operate AI-powered business improvements themselves. This speed and flexibility are fundamentally changing the traditional AI implementation process.

Breaking Down Corporate AI Barriers to Drive Cross-Industry Transformation
AI is no longer a "special technology used only by a few large enterprises." Its potential is expanding across all industries, including manufacturing, finance, energy, medicine, and logistics. However, the recurring challenge is "how to implement and operate it."

The company's product functions as the platform to overcome this barrier, allowing AI applications that would traditionally take a year to develop to be deployed to a production environment in just a few weeks. This speed and agility are accelerating cross-industry transformation.

【Responsibilities】
As a Tech Lead candidate for the Platform team, you will be responsible for the following:
・Formulating development policies in collaboration with the PdM.
・Leading technical strategy and selection.
・Managing the development team and projects.

Specifically, you will be responsible for the following tasks:
・Formulating development policies and roadmaps.
・Leading technical strategy and technology selection.
・Leading the planning, design, and development of the entire system (frontend, backend, cloud infrastructure (AWS, Kubernetes, etc.)) as well as hands-on work.
・Improving product and code quality through code reviews and various tests.
・Managing the development team, including assigning tasks to members.

【Technology Stack】
Infrastructure: AWS, Azure, GCP, Kubernetes
Backend: Go
Frontend: TypeScript, React, Vue.JS
Others: Operator, Visual Studio Code

【Opportunities Gained Through This Position】
As this is a service that will become a pillar of the company's next stage of business, there will be many challenging opportunities, and you can be involved as a core member contributing to the product's growth.
Since it will be a PaaS service rather than a simple SaaS, you will be involved in all technical domains, including cloud infrastructure, frontend, backend, and security, allowing you to gain experience as a full-stack engineer.
You will be in an environment where you use English on a daily basis due to the global engineering team that includes overseas members.

Required Skills and Experiences

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

Discretionary Work System (Come at any hour and leave at any hour)
Discretionary Work System
Some Telecommuting(Some Telecommuting)
None/None
Monthly income: 12 installments of annual income
Minimum 670,000 yen (495,680 yen base salary, 174,320 yen for 45 hours of deemed overtime)
Upper limit of 1,090,000 yen (base salary of 806,470 yen, 283,530 yen for 45 hours of deemed overtime)
Additional pay for overtime work in excess of 45 hours
To be determined in accordance with the Company's regulations, taking into consideration experience, ability, and expectations.
Sign-on bonus may be paid separately.
Discretionary work system
Sick Leave
Summer Holiday
Condition Leave
Return Leave
Saturday/Sunday/National Holiday
Others
New Year Holiday
Congratulations &amp; Condolence Leave
Annual Paid Leave
Commuting Allowance
Full Social Insurance
Employee Shareholding System
Training/Self Development Allowance 
Preferred PC
Holidays
2 days off per week (Saturdays, Sundays, and national holidays)
3 to 10 days of paid vacation per year (the minimum number of days is the number of days granted immediately after joining the company)
120 days off per year

Annual paid holidays (3 days granted on the day of joining the company, with an additional day granted after 3 months of employment. Can be taken in half days), Refreshment leave (5 weekdays per year), Year-end and New Year holidays, Celebration or condolence leave, Marriage leave (for you and your children), Condition leave (during probationary period: 3 days)

Benefits
Commuting allowance, health insurance, employee pension insurance, unemployment insurance, workers' accident compensation insurance

＜Supplemental Allowances and Systems
Commuting allowance: Up to 35,000 yen per month
Social insurance: Social insurance is provided.

&lt;Retirement age
60 years old

&lt;Side job
Permitted

&lt;Maternity leave taken
Yes

&lt;Supplemental education and qualification support
Purchase of books (all expenses paid by the company)
Study sessions (at least once a week during work hours)
Support system for doctoral course, etc.
We have a full technical training system.

＜Other Supplemental Benefits
Business trip allowance
Shareholding association (with incentive)
Health checkups, online medical consultation (first call)
Maternity/paternity leave, nursing care leave
Vaccine leave (special leave)
■Return leave (2 days granted for visiting family members in remote areas more than 1,000 km away)
Babysitter subsidy system, gift money for enrolling a child in preschool, and nursing care allowance
Shuffle lunch/shuffle tea
Free dress code
■Loan of PC with desired specs
■Various club activities available

RECRUITMENT PROCESS

Document screening
First round interview
Second interview
Final interview
Offer of employment
Offer interview
The number of times of selection may increase or decrease depending on the case.

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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