top of page
Logo_RUT_BK.png

Careers

Recruitment Information

We aim to create a society where AI is integrated into all business processes. The use of AI not only leads to increased efficiency and accuracy in operations, but also holds the potential for creating new value. AI technology is expected to continue evolving, and its applications will expand even further. An environment where you can challenge cutting-edge technologies alongside members from diverse backgrounds has the power to transform your career into something vibrant. Age and affiliation are not a concern. We look forward to receiving your application.

Job openings

Full-time

  • This position involves on-site engineering for the social implementation of AI solutions based on large-scale GPU resources.

    You will be involved in project sites for government agencies and major corporations (on-premise environments and closed networks), collaborating with senior engineers and business members to handle everything from AI model implementation and deployment to troubleshooting. You are expected to leverage your technical skills to directly solve customer problems and contribute to the stable operation of systems supporting national infrastructure.

    ​

    Specifically, you are expected to be responsible for the following tasks:

    • We go into the customer's site and implement and deploy AI models to their systems.

    • Prototyping, feature implementation, and error analysis using Python

    • Server construction and network configuration in customer environments (data centers, offices, etc.)

    • On-site technical initial response (troubleshooting) and problem isolation

    • Collaborate with senior FDEs and the business side to provide technical task progress reports.

    • Accurately understand the events and issues that occur on-site and provide feedback to the internal development team.

     

    [Eligibility Requirements]

    • Practical development experience using Python

    • Basic operation of Linux/UNIX-based operating systems, and experience in infrastructure construction and operation.

    • Must be a Japanese citizen (for security reasons)

    • Having no resistance to communicating and collaborating with clients.

     

    [Eligibility Requirements (Welcome)]

    • Experience working on-site at client locations, such as at system integrators (SIers).

    • Interest in AI/machine learning technologies (work experience not required)

    • Basic knowledge of network and server construction

    • Skills to read and understand technical documents in English

     

    [Desired Candidate Profile]

    • We are looking for someone who values not only "clean technology" but also the "gritty work" and problem-solving involved in the field.

    • We are looking for someone who is highly motivated to keep up with new technologies (such as GPUs and LLMs) and has a proactive attitude towards learning.

    • We are looking for someone who has the initiative to take action and investigate the cause of an issue, even in uncertain situations.

     

    [Salary, etc.]

    • Work location: Negotiable. *Depending on the project status, you may be required to work on-site at the client's location on a regular basis.

    • Wage system: Annual salary (or monthly salary)

    • Expected annual salary: ¥7,500,000 - ¥10,000,000 *Determined based on experience and abilities.

    • Allowances: Full reimbursement of transportation expenses, company-provided PC.

    • Working hours: Full flextime system

    • Holidays and leave: Complete two-day weekend (Saturday, Sunday, and public holidays), comprehensive social insurance coverage.

    • Employment: Full-time employee (with probationary period)

  • As an AI infrastructure engineer in our AI development platform business, you will be responsible for the following:

    Our GPU cloud platform is currently operating and planning a large-scale AI infrastructure utilizing Kubernetes. However, we are increasingly facing challenges that require optimization of resource management, improved availability, and performance tuning, and we are seeking engineers who can address these issues. In particular, we are looking for individuals who can leverage their expertise in optimizing cloud environments using Kubernetes, efficiently allocating GPU resources, and designing highly available systems to further strengthen the operation of our cloud infrastructure.

     

    Specifically, you are expected to be responsible for the following tasks:

    • GPU cloud platform development

    • Designing and optimizing container environments using Kubernetes

    • Optimizing GPU resource management (scheduling, load balancing)

    • System monitoring and performance tuning

    • Improving the high availability and scalability of cloud infrastructure

    ​

    [Required (MUST)] Candidates must have the following experience.

    • Experience working with Kubernetes, experience building and operating servers in a Linux environment, and experience building GPU-related environments (NVIDIA A100/H100, etc.) are required.

    • Experience using NVIDIA middleware (NVIDIA MIG, CUDA, TensorRT, etc.)

     

    [Welcome (WANT)]

    • Experience in operating job schedulers (such as Slurm)

    • Experience in building and operating OpenStack.

    • Network skills (SDN, VPC, L2/L3 networking knowledge)

    ​

    [Salary, etc.]

    • 8 million to 15 million yen (annual salary)

    • Stock option program available

    ​

    [Work location]

    • Fully remote / AI subsidiary Fukushima office: 230 Shimonokami Shimizu, Okuma-machi, Futaba-gun, Fukushima Prefecture

    • Kyoto Office: YJK Building 6F, 397 Shimomaruya-cho, Nakagyo-ku, Kyoto

    *This varies depending on your skill set. Please inquire.

  • This position involves leading the social implementation of AI solutions based on large-scale GPU resources.

    In critical projects for government agencies and major infrastructure companies, you will be responsible for the entire process, from managing customer expectations (including non-engineering executives) to actual implementation and deployment on-site. As a "technical advisor," you will be expected to lead projects to success and build a highly skilled career in both engineering and business.

     

    Specifically, you are expected to be responsible for the following tasks:

    • Lead regular meetings with clients (government agencies and large corporations), and handle requirements definition and WBS management.

    • Assess the technical feasibility and adjust expectations regarding what is and isn't possible.

    • Immerse yourself in customer sites and lead implementation and deployment.

    • Implementing AI models using Python, prototyping, and error analysis.

    • Collaborate with the business team to manage project progress from a technical perspective.

    • Bring back technical challenges from the field and direct technical investigations and development to the internal development team (including foreign engineers).

    ​

    [Eligibility Requirements (Required)]

    • PM/PL experience in large-scale projects

    • Experience in negotiating with customers (including non-technical personnel), adjusting specifications, and managing expectations.

    • Practical experience in development and implementation as an engineer

    • Must be a Japanese citizen (for security reasons)

    • Basic operating skills for Linux/UNIX-like operating systems.

     

    [Eligibility Requirements (Welcome)]

    • Practical experience in AI/machine learning projects (at least one completed project).

    • Managerial experience at a consulting firm

    • Project management experience in mission-critical areas such as government agencies and finance.

    • Business-level English proficiency (for collaboration with in-house engineers)

     

    [Desired Candidate Profile]

    • We are looking for someone who values not only "clean techniques" but also the "gritty adjustments" made on-site.

    • We are looking for someone who can identify problems and propose solutions independently, even in highly uncertain environments.

    • We are looking for someone who doesn't just wait for instructions, but proactively engages with customers on-site and has the drive to move projects forward.

    ​

    [Salary, etc.]

    • Work location: Negotiable. *Depending on the project status, you may be required to work on-site at the client's location on a regular basis.

    • Wage system: Annual salary (or monthly salary)

    • Expected annual salary: 10 million to 15 million yen

    • *Determined based on experience and abilities.

    • Allowances: Full reimbursement of transportation expenses, company-provided PC.

    • Working hours: Full flextime system

    • Holidays and leave: Complete two-day weekend (Saturday, Sunday, and public holidays), comprehensive social insurance coverage.

    • Employment: Full-time employee (with probationary period)

  • This position involves leading the entire project, from client interviews and problem identification to proposal development, implementation of AI-based solutions, progress management, and continuous operation. You will act as a liaison between the client and project members, sometimes getting your hands dirty. Not only technical skills, but also project management skills and business communication skills with clients are required.

    ​

    [Job summary]

    • The work is split 50/50 between development and management. Administrative tasks are handled by assistants.

    • There are currently no plans for human resource management. However, this may become necessary in the future depending on the team members.

    • Development periods range from 1 to 3 months to long-term projects lasting 1 to 3 years.

     

    Specifically, you are expected to be responsible for the following tasks:

    • Each project will be handled as a separate project, and you will be responsible for the following as the project leader.

    • In collaboration with the sales representative in charge of the project, we interview the client to understand their challenges and define the technical scope.

    • While also carrying out development work myself, I manage the assigned engineers to ensure the project is completed without delay.

    • Managing revenue as part of project management

    ​

    [Eligibility Requirements (Required)]

    • Experience leading projects as a lead engineer or project manager.

    • Knowledge and implementation experience in one of the following specific AI areas: machine learning, deep learning (natural language processing, image generation/recognition, speech recognition, reinforcement learning, robotics, etc.), or at least 3 years of experience in any system development field.

    • A strong desire to learn, always keeping up with the latest technologies.

    • Basic English conversation skills

    ​

    [Eligibility Requirements (Welcome)]

    • Experience in making proposals to customers

    • Project management experience at consulting firms, etc.

    • Experience in developing B2B systems

    • Project Management experience in AI projects

    • Experience in closely reading and implementing deep learning papers.

    ​

    [Desired Candidate Profile]

    • We are looking for someone with a good balance of engineering and communication skills, and who can manage projects.

    • Those who place importance on logical thinking and strive for essential understanding.

    • Someone who can generate leads at customer touchpoints.

    • Those who enjoy the fast pace and growth of the rapidly evolving AI industry and are excited about the future.

    ​

    [Salary, etc.]

    • Work locations: Nakagyo-ku, Kyoto City and Minato-ku, Tokyo

    • Wage system: Monthly salary

    • Monthly salary: ¥600,000 and up *Only experienced candidates are eligible. Salary will be determined based on experience and achievements.

    • * The fixed overtime (overtime + late-night) allowance includes 30 hours of overtime pay and is paid at a fixed rate regardless of whether overtime is worked or not. Any hours exceeding 30 hours will be paid separately.

    • Allowances: Commuting expenses reimbursed (no upper limit)

    • Working hours: Flexible working hours (8 hours of actual work)

      • Core time | 11:00 - 14:00

      • Standard working hours: 10:00 AM to 7:00 PM *Break time: 60 minutes *Average overtime: 20 hours

    • Holidays and leave: Two days off per week (Saturday, Sunday, and public holidays) *[122 days off per year] *Based on 2022 figures

    • Bonus: Once a year (paid according to performance; no bonus based on previous year's performance)

    • Salary increase: Once a year (paid based on performance; no previous year's performance data is used)

    • Employment: Full-time employee *3-month probationary period (no change in conditions during this period)

Part-time

  • Rutilea, an AI startup in Kyoto, has many senior members who have cultivated their skills by independently acquiring cutting-edge development skills while still in university!

    At Rutilea, a startup, you can gain experience in generative AI development in one of Japan's largest environments (DGX H100). Join us as we tackle the challenge of dynamic social transformation through AI, and seize the opportunity to immediately put your academic skills into practice!

    Challenge entries are also welcome!

     

    [Benefits of working at RUTILEA]

    • Practical experience honing cutting-edge development skills on the job market is a significant advantage!

    • With the introduction of a flexible work schedule, you can work in a style that suits the university's schedule, such as starting in the evening. (Some remote work is possible.)

    • It is possible to obtain a master's or doctoral degree while working as an intern.

    • Full-time employment opportunities are available for those who wish to be hired. Stock options have been granted in the past.

    • Our office is conveniently located in front of Kyoto City Hall. We have many foreign employees and international students, so you can also improve your English!

    ​

    [Eligibility Requirements]

    • Applicants should be planning to attend university or graduate school for the next two years or more. Doctoral students are also welcome!

    • Candidates should have programming development experience outside of university assignments, such as business contests or app development. Python is required, but other programming languages should also be preferred.

    • I like to absorb knowledge quickly, and I'm often told by others that I have strong problem-solving skills.

    • People who can commute to the Kyoto office

Join Us Now

Application form

Thank you for applying to RUTILEA Co., Ltd. We will review your application and proceed with the selection process.

Please note that if you proceed to the selection process, a representative will contact you within approximately two weeks.

We aim to create a society where AI is integrated into all business processes. The use of AI not only leads to increased efficiency and accuracy in operations, but also holds the potential for creating new value. AI technology is expected to continue evolving, and its applications will expand even further. An environment where you can challenge cutting-edge technologies alongside members from diverse backgrounds has the power to transform your career into something vibrant. Age and affiliation are not a concern. We look forward to receiving your application.

Job openings

Full-time

  • This position involves on-site engineering for the social implementation of AI solutions based on large-scale GPU resources.

    You will be involved in project sites for government agencies and major corporations (on-premise environments and closed networks), collaborating with senior engineers and business members to handle everything from AI model implementation and deployment to troubleshooting. You are expected to leverage your technical skills to directly solve customer problems and contribute to the stable operation of systems supporting national infrastructure.

    ​

    Specifically, you are expected to be responsible for the following tasks:

    • We go into the customer's site and implement and deploy AI models to their systems.

    • Prototyping, feature implementation, and error analysis using Python

    • Server construction and network configuration in customer environments (data centers, offices, etc.)

    • On-site technical initial response (troubleshooting) and problem isolation

    • Collaborate with senior FDEs and the business side to provide technical task progress reports.

    • Accurately understand the events and issues that occur on-site and provide feedback to the internal development team.

     

    [Eligibility Requirements]

    • Practical development experience using Python

    • Basic operation of Linux/UNIX-based operating systems, and experience in infrastructure construction and operation.

    • Must be a Japanese citizen (for security reasons)

    • Having no resistance to communicating and collaborating with clients.

     

    [Eligibility Requirements (Welcome)]

    • Experience working on-site at client locations, such as at system integrators (SIers).

    • Interest in AI/machine learning technologies (work experience not required)

    • Basic knowledge of network and server construction

    • Skills to read and understand technical documents in English

     

    [Desired Candidate Profile]

    • We are looking for someone who values not only "clean technology" but also the "gritty work" and problem-solving involved in the field.

    • We are looking for someone who is highly motivated to keep up with new technologies (such as GPUs and LLMs) and has a proactive attitude towards learning.

    • We are looking for someone who has the initiative to take action and investigate the cause of an issue, even in uncertain situations.

     

    [Salary, etc.]

    • Work location: Negotiable. *Depending on the project status, you may be required to work on-site at the client's location on a regular basis.

    • Wage system: Annual salary (or monthly salary)

    • Expected annual salary: ¥7,500,000 - ¥10,000,000 *Determined based on experience and abilities.

    • Allowances: Full reimbursement of transportation expenses, company-provided PC.

    • Working hours: Full flextime system

    • Holidays and leave: Complete two-day weekend (Saturday, Sunday, and public holidays), comprehensive social insurance coverage.

    • Employment: Full-time employee (with probationary period)

  • As an AI infrastructure engineer in our AI development platform business, you will be responsible for the following:

    Our GPU cloud platform is currently operating and planning a large-scale AI infrastructure utilizing Kubernetes. However, we are increasingly facing challenges that require optimization of resource management, improved availability, and performance tuning, and we are seeking engineers who can address these issues. In particular, we are looking for individuals who can leverage their expertise in optimizing cloud environments using Kubernetes, efficiently allocating GPU resources, and designing highly available systems to further strengthen the operation of our cloud infrastructure.

     

    Specifically, you are expected to be responsible for the following tasks:

    • GPU cloud platform development

    • Designing and optimizing container environments using Kubernetes

    • Optimizing GPU resource management (scheduling, load balancing)

    • System monitoring and performance tuning

    • Improving the high availability and scalability of cloud infrastructure

    ​

    [Required (MUST)] Candidates must have the following experience.

    • Experience working with Kubernetes, experience building and operating servers in a Linux environment, and experience building GPU-related environments (NVIDIA A100/H100, etc.) are required.

    • Experience using NVIDIA middleware (NVIDIA MIG, CUDA, TensorRT, etc.)

     

    [Welcome (WANT)]

    • Experience in operating job schedulers (such as Slurm)

    • Experience in building and operating OpenStack.

    • Network skills (SDN, VPC, L2/L3 networking knowledge)

    ​

    [Salary, etc.]

    • 8 million to 15 million yen (annual salary)

    • Stock option program available

    ​

    [Work location]

    • Fully remote / AI subsidiary Fukushima office: 230 Shimonokami Shimizu, Okuma-machi, Futaba-gun, Fukushima Prefecture

    • Kyoto Office: YJK Building 6F, 397 Shimomaruya-cho, Nakagyo-ku, Kyoto

    *This varies depending on your skill set. Please inquire.

  • This position involves leading the social implementation of AI solutions based on large-scale GPU resources.

    In critical projects for government agencies and major infrastructure companies, you will be responsible for the entire process, from managing customer expectations (including non-engineering executives) to actual implementation and deployment on-site. As a "technical advisor," you will be expected to lead projects to success and build a highly skilled career in both engineering and business.

     

    Specifically, you are expected to be responsible for the following tasks:

    • Lead regular meetings with clients (government agencies and large corporations), and handle requirements definition and WBS management.

    • Assess the technical feasibility and adjust expectations regarding what is and isn't possible.

    • Immerse yourself in customer sites and lead implementation and deployment.

    • Implementing AI models using Python, prototyping, and error analysis.

    • Collaborate with the business team to manage project progress from a technical perspective.

    • Bring back technical challenges from the field and direct technical investigations and development to the internal development team (including foreign engineers).

    ​

    [Eligibility Requirements (Required)]

    • PM/PL experience in large-scale projects

    • Experience in negotiating with customers (including non-technical personnel), adjusting specifications, and managing expectations.

    • Practical experience in development and implementation as an engineer

    • Must be a Japanese citizen (for security reasons)

    • Basic operating skills for Linux/UNIX-like operating systems.

     

    [Eligibility Requirements (Welcome)]

    • Practical experience in AI/machine learning projects (at least one completed project).

    • Managerial experience at a consulting firm

    • Project management experience in mission-critical areas such as government agencies and finance.

    • Business-level English proficiency (for collaboration with in-house engineers)

     

    [Desired Candidate Profile]

    • We are looking for someone who values not only "clean techniques" but also the "gritty adjustments" made on-site.

    • We are looking for someone who can identify problems and propose solutions independently, even in highly uncertain environments.

    • We are looking for someone who doesn't just wait for instructions, but proactively engages with customers on-site and has the drive to move projects forward.

    ​

    [Salary, etc.]

    • Work location: Negotiable. *Depending on the project status, you may be required to work on-site at the client's location on a regular basis.

    • Wage system: Annual salary (or monthly salary)

    • Expected annual salary: 10 million to 15 million yen

    • *Determined based on experience and abilities.

    • Allowances: Full reimbursement of transportation expenses, company-provided PC.

    • Working hours: Full flextime system

    • Holidays and leave: Complete two-day weekend (Saturday, Sunday, and public holidays), comprehensive social insurance coverage.

    • Employment: Full-time employee (with probationary period)

  • This position involves leading the entire project, from client interviews and problem identification to proposal development, implementation of AI-based solutions, progress management, and continuous operation. You will act as a liaison between the client and project members, sometimes getting your hands dirty. Not only technical skills, but also project management skills and business communication skills with clients are required.

    ​

    [Job summary]

    • The work is split 50/50 between development and management. Administrative tasks are handled by assistants.

    • There are currently no plans for human resource management. However, this may become necessary in the future depending on the team members.

    • Development periods range from 1 to 3 months to long-term projects lasting 1 to 3 years.

     

    Specifically, you are expected to be responsible for the following tasks:

    • Each project will be handled as a separate project, and you will be responsible for the following as the project leader.

    • In collaboration with the sales representative in charge of the project, we interview the client to understand their challenges and define the technical scope.

    • While also carrying out development work myself, I manage the assigned engineers to ensure the project is completed without delay.

    • Managing revenue as part of project management

    ​

    [Eligibility Requirements (Required)]

    • Experience leading projects as a lead engineer or project manager.

    • Knowledge and implementation experience in one of the following specific AI areas: machine learning, deep learning (natural language processing, image generation/recognition, speech recognition, reinforcement learning, robotics, etc.), or at least 3 years of experience in any system development field.

    • A strong desire to learn, always keeping up with the latest technologies.

    • Basic English conversation skills

    ​

    [Eligibility Requirements (Welcome)]

    • Experience in making proposals to customers

    • Project management experience at consulting firms, etc.

    • Experience in developing B2B systems

    • Project Management experience in AI projects

    • Experience in closely reading and implementing deep learning papers.

    ​

    [Desired Candidate Profile]

    • We are looking for someone with a good balance of engineering and communication skills, and who can manage projects.

    • Those who place importance on logical thinking and strive for essential understanding.

    • Someone who can generate leads at customer touchpoints.

    • Those who enjoy the fast pace and growth of the rapidly evolving AI industry and are excited about the future.

    ​

    [Salary, etc.]

    • Work locations: Nakagyo-ku, Kyoto City and Minato-ku, Tokyo

    • Wage system: Monthly salary

    • Monthly salary: ¥600,000 and up *Only experienced candidates are eligible. Salary will be determined based on experience and achievements.

    • * The fixed overtime (overtime + late-night) allowance includes 30 hours of overtime pay and is paid at a fixed rate regardless of whether overtime is worked or not. Any hours exceeding 30 hours will be paid separately.

    • Allowances: Commuting expenses reimbursed (no upper limit)

    • Working hours: Flexible working hours (8 hours of actual work)

      • Core time | 11:00 - 14:00

      • Standard working hours: 10:00 AM to 7:00 PM *Break time: 60 minutes *Average overtime: 20 hours

    • Holidays and leave: Two days off per week (Saturday, Sunday, and public holidays) *[122 days off per year] *Based on 2022 figures

    • Bonus: Once a year (paid according to performance; no bonus based on previous year's performance)

    • Salary increase: Once a year (paid based on performance; no previous year's performance data is used)

    • Employment: Full-time employee *3-month probationary period (no change in conditions during this period)

Part-time

  • Rutilea, an AI startup in Kyoto, has many senior members who have cultivated their skills by independently acquiring cutting-edge development skills while still in university!

    At Rutilea, a startup, you can gain experience in generative AI development in one of Japan's largest environments (DGX H100). Join us as we tackle the challenge of dynamic social transformation through AI, and seize the opportunity to immediately put your academic skills into practice!

    Challenge entries are also welcome!

     

    [Benefits of working at RUTILEA]

    • Practical experience honing cutting-edge development skills on the job market is a significant advantage!

    • With the introduction of a flexible work schedule, you can work in a style that suits the university's schedule, such as starting in the evening. (Some remote work is possible.)

    • It is possible to obtain a master's or doctoral degree while working as an intern.

    • Full-time employment opportunities are available for those who wish to be hired. Stock options have been granted in the past.

    • Our office is conveniently located in front of Kyoto City Hall. We have many foreign employees and international students, so you can also improve your English!

    ​

    [Eligibility Requirements]

    • Applicants should be planning to attend university or graduate school for the next two years or more. Doctoral students are also welcome!

    • Candidates should have programming development experience outside of university assignments, such as business contests or app development. Python is required, but other programming languages should also be preferred.

    • I like to absorb knowledge quickly, and I'm often told by others that I have strong problem-solving skills.

    • People who can commute to the Kyoto office

bottom of page