Full stack Engineer

On-siteOta-ku, Tokyo, JapanDevelopment DivisionFull-time

Description

About AIRoA

The AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, and leveraging it to train the world’s most powerful Vision-Language- Action (VLA) models.

What makes AIRoA unique is not only the unprecedented scale of real-world data and humanoid platforms, but also our commitment to making everything open and accessible. We are building a shared “robot data ecosystem” where datasets, trained models, and benchmarks are available to everyone. Researchers around the world will be able to evaluate their models on standardized humanoid robots through our open evaluation platform.

For researchers, this means an opportunity to:

 Work on fundamental challenges in robotics and AI: multimodal learning, tactile-rich manipulation, sim-to-real transfer, and large-scale benchmarking.

 Access state-of-the-art infrastructure: hundreds of humanoid robots, GPU clusters, high-fidelity simulators, and a global-scale evaluation pipeline.

 Collaborate with leading experts across academia and industry, and publish results that will shape the next decade of robotics.

 Contribute to an initiative that will redefine the future of embodied AI— with all results made open to the world.

Key Responsibilities

 Design, develop and implement teleoperation systems, including real-time control, low-latency audio/video streaming and operator-facing interfaces.

 Work closely with robot operators to gather feedback from real-world use and continuously improve the user experience.

 Provide data-quality feedback through the teleoperation UI to encourage higher-quality data collection.

 Develop and maintain applications that support data collection, such as internal tools and dashboards.

 Build intuitive web-based interfaces for managing and monitoring data pipelines.

 Collaborate with VLA teams and Data/ML platform teams to ensure seamless data ingestion and workflow management.

 Design and implement APIs to facilitate data interactions between internal services and external data sources.

 Develop configuration-management systems to store and update metadata, including robot configurations and task descriptions.

 Ensure secure communication through robust authentication and access-control mechanisms.

Requirements

Required Qualifications

 Bachelor’s degree in Computer Science or a related field (or equivalent practical experience).

 4+ years of professional experience as a full-stack engineer.  Proficiency in frontend frameworks such as Next.js, React or Vue.  Proficiency in implementing backend solutions using such technologies

as Go and Python FastAPI.

Preferred Qualifications

 Experience developing real-time dashboards, robot control interfaces, or similar applications.

 Experience with web crawling and large-scale data processing is a plus.  Familiarity with cloud platforms such as AWS, GCP or Azure.

 Strong understanding of web/mobile app development and real-time communication protocols (WebSocket, MQTT, gRPC).

 Experience with ROS/ROS2 and related web tools (e.g., ROSBridge, Foxglove, Webviz).

 Familiarity with robot telemetry, sensor data visualization, and live camera feeds.

 Experience optimizing system performance using performance analysis tools.

Others (linguistic qualification, etc.)

【Highly appreciated】 English proficiency at business level

Benefits

There are currently no comparable projects in the world that collect data and develop foundation models on such a large scale. As mentioned above, this is one of Japan’s leading national projects, supported by a substantial investment of 20.5 billion yen from NEDO.

This position will play a crucial role in determining the success of the project. You will have broad discretion and responsibility, and we are confident that, if successful, you will gain both a great sense of achievement and the opportunity to make a meaningful contribution to society.

Furthermore, we strongly encourage engineers to actively build their careers through this project—for example, by publishing research papers and engaging in academic activities.

●Work location

Tokyo Ryutsu Center A Bldg. AW4-5, 6-1-1 Heiwajima, Ota-ku, Tokyo 143-0006, Japan

Full-stack Engineer

Role : Leader or Member

As a Full-Stack Engineer, you will join our development team to lead the

evolution of our AI products. You will be responsible for solving complex

technical challenges in core functionalities and driving the development

of products that continue to be chosen by customers.

Job Description

You will be responsible for developing SaaS applications utilizing

Generative AI. Your role will include designing and building highly

efficient and reusable systems, as well as developing complex web

applications.

 Product Development Using LLM:

o Design and develop products leveraging Large

Language Models (LLM).

 API Integration Projects:

o Lead projects to integrate multiple APIs and create

new APIs.

 Design and Implementation:

o Perform design and implementation with a focus on

performance and maintainability.

 Web Application Development:

o Develop frontend applications using TypeScript and

Next.js.

Team Structure

Approximately 65 members are part of the development organization.

Development is divided into the following groups:

 Client Solution Development

 In-house AI SaaS Development

 Common Infrastructure Development (Infra / Data / AI R&D)

Required Qualifications

We are looking for candidates with:

 Bachelor's or Master's degree in Computer Science, Software

Engineering, Artificial Intelligence, Machine Learning,

Mathematics, Physics, or related fields

 3+ years of experience in web application development using

modern frameworks.

 2+ years of experience in server-side implementation.

 Proficiency in at least one backend language (e.g., Python,

Java).

 Experience with cloud services (AWS, GCP, Azure) and

understanding of container technologies (Docker, Kubernetes).

 Fluency in English and/or Japanese (business level or higher in

at least one language).

Preferred Qualifications

Candidates with the following experience or skills will be highly

regarded:

 Experience in developing SaaS web applications.

 Experience in designing and building large-scale, complex

architectures.

 Basic understanding and interest in Generative AI.

 Ability to stay updated on the latest technology trends and

share knowledge within the organization.

Tech Stack

 Languages: Python (for framework development), TypeScript /

React / Next.js (for frontend development) / NX

 Infrastructure: GCP (containers / Kubernetes), Docker

 Tools: Slack, Confluence, Linear, Google Workspace, GitHub,

Notion

 Work Environment: Mac (Apple Silicon), dual monitors available

Learning and Development Support

 AI Tool Usage Support:

o Company covers the cost of using AI tools such as

JAPAN AI SaaS services, Cursor, ChatGPT, Claude, etc.

 Development Tool Support:

o If a desired development tool is paid, the cost is

covered (up to 30,000 yen per year)

 Book Purchase Assistance:

o Company covers the cost of purchasing books for

learning, such as technical books (up to 30,000 yen

per half-year)

 Language Learning / Qualification Support:

o Company covers the cost of Japanese or English

learning programs and qualification acquisition

 Refresh Allowance:

o Company covers the cost of services used for personal

refreshment (up to 5,000 yen per month)

o e.g., gym, yoga, chiropractic, aquarium, movies,

theme park tickets, etc.

 Housing Allowance:

o Housing allowance provided for those living in

designated areas (up to 30,000 yen per month)

Work Style

Hybrid Work: 3 days in office, 2 days remote

Flexible working hours: Core time is negotiable

Flexibility: Future consideration for more flexible work styles is possible

Why You’ll Love This Role

 Exposure to Cutting-Edge Technology:

o Work with the latest technologies, such as Generative

AI and LLM, to deepen your technical knowledge.

 Creative Environment:

o Design and develop products with creative freedom,

delivering user-friendly solutions.

 Growth Opportunities:

o Gain abundant career advancement opportunities in a

rapidly growing startup.

 Sense of Contribution:

o Work in a small, elite team where your ideas and

opinions directly impact the product.

Selection Process

CV Screening → Coding test → Multiple Interviews → Final Interview

(Reference checks are required before the final interview.)

[AI Division] Data Engineer This is a high-profile startup providing solutions for asset management, trading, and market making by leveraging cutting-edge AI technology in the financial industry. While maintaining a stable foundation as part of a major financial group, the company offers clients industry-leading competitiveness within a fast-paced development environment.

1. Job Overview Leveraging your expertise in data engineering and financial data, you will be responsible for the end-to-end design, construction, and operation of highly scalable, maintainable, and robust live production systems. In this position, you will work closely with data scientists to lead the construction and optimization of data pipelines that maximize business value.

Specific Duties

● Data Pipeline Construction: End-to-end management from requirements definition to operation and shutdown.

● Product Development & Operations: Continuous improvement and reliability enhancement of in-house AI solutions.

● Data Infrastructure Strengthening: Proposing and negotiating new data sources, onboarding, and compliance management.

● Technology Selection & Evaluation: Researching, evaluating, and promoting the implementation of new technologies that add value to products.

2. Qualifications Required Skills & Experience

● Work Experience: 5+ years of experience in data engineering or software development.

● Degree: Bachelor’s degree in Computer Science or a related field. ● Technical Knowledge: Deep understanding of Computer Science fundamentals

(from low-level to high-level structures). ● Python Stack: Experience in data processing using Pandas and Numpy. ● Language/Residency: Japanese proficiency (JLPT N3 or higher) and currently

residing in Japan.

Preferred Skills & Experience

● Data Processing: Experience handling Big Data, out-of-core processing, and streaming data.

● Infrastructure/DevOps: Experience with AWS/GCP/Azure and IaC using Terraform. ● Workflows: Experience using ArgoWorkflow, Airflow, Prefect, etc. ● Programming: Knowledge of Golang, Rust, Java, etc. ● Domain Knowledge: Handling financial data (FX, Equities, ETFs) and knowledge of

ML frameworks (PyTorch, sklearn, etc.). ● Management: Experience in project management or team leadership.

3. Ideal Candidate Profile

● Individuals who want to make a significant impact as a core member of a growing startup.

● Individuals who value sincere and close communication and can deliver results as a team.

● Individuals who are never satisfied with the status quo, possess a mindset for continuous improvement, and can flexibly absorb new skills.

4. Compensation and Benefits

Item Details

Estimated Annual Salary

8 million JPY – 12 million JPY (commensurate with experience and ability)

Employment Type Full-time employee (3-month probationary period)

Location Chiyoda-ku, Tokyo (H1O Hirakawacho) *Many employees utilize remote work

Working Hours 09:00 – 18:00

Holidays/Leave 5-day work week (Sat/Sun/Holidays), New Year's, Paid Leave (10+ days in the first year/granted from month of joining)

Welfare & Support

● Skill Up: Support for "Udemy" learning platform and book purchase system. ● Asset Building: Corporate Defined Contribution Pension Plan (Selective). ● Life Support: Company-leased housing system, Relo Club, Laforet Club. ● Other: Side jobs (side hustles) permitted.

5. Corporate Culture

● Diversity & Internationality: A gathering of professionals from diverse multinational backgrounds, including engineers, data scientists, quants, and bankers.

● Open Connections: A culture that emphasizes collaboration with external partners, investors, and the startup community to share knowledge.

● Work-Life Balance: Remote work is encouraged. An environment where you can perform at a high level while prioritizing family and private life.