Fullstack Engineer (AI × Data SaaS) in Japan: Everything You Need to Know

Hello and welcome back.

I’m Bryan Rios from Build+, and I am joined today by…

Oh wait.

Wrong script. Wrong intro. Wrong format.

You’re here to learn about being a QA engineer in Japan, not listen to a podcast about it.

Well, there’s a lot to cover, so let’s get started.

 

What is this role?

This is an opportunity to join a Tokyo-based AI × Data startup as a Fullstack Engineer, working on modern SaaS products powered by large-scale data and machine learning.

In this role, you won’t be siloed into frontend or backend—you’ll work across the entire product lifecycle, from planning and requirements definition to development, testing, and continuous improvement.

The company is building AI-driven platforms in areas like HR Tech and Sales Tech, with a strong focus on creating globally competitive products.

 

What you will do

You’ll play a hands-on role in building and scaling core products:

  • Develop and enhance SaaS products across frontend and backend

  • Participate in the full development lifecycle (planning → design → implementation → testing → maintenance)

  • Build and maintain web applications and APIs

  • Collaborate with international engineering teams

  • Contribute to AI and data-driven product initiatives

This is a role where engineers are expected to own features end-to-end, not just execute tasks.

 

What they are looking for

Core requirements

  • 3+ years of web application development experience

  • Frontend experience with SPA frameworks (Vue, React, Angular)

  • Backend experience building APIs (Python, Go, Node.js, etc.)

  • Comfortable using English in a professional environment

Nice to have

  • Experience in leadership or mentoring

  • Experience with requirement definition / upstream processes

  • Experience with Agile/Scrum development

  • Knowledge of cloud architecture (AWS, etc.)

  • Understanding of UI/UX or system performance optimization

  • Exposure to data science or AI-related systems

Mindset

  • You care about team success, not just individual output

  • You actively incorporate user and customer feedback

  • You thrive in fast-paced, evolving environments

  • You’re comfortable with ambiguity and change

 

Language Requirements

  • English: Business (used in engineering collaboration, including with overseas teams)

  • Japanese: Not required

This makes the role accessible if you want to work in Japan in an international engineering environment.

 

Tech stack

You’ll work in a modern, scalable environment:

  • Frontend: TypeScript, Vue.js

  • Backend: Python, Go, FastAPI

  • Infrastructure: AWS, GCP, Terraform, Ansible

  • AI/ML: PyTorch, scikit-learn, OpenAI API, LangChain

  • Data: PostgreSQL, Elasticsearch

  • Tools: GitHub, Slack, Notion, Figma

 

Salary & benefits

  • Salary: Up to ¥10,000,000 (negotiable)

  • Stock options: Under design

  • Health insurance, pension, and regular health checkups

 

Working environment

  • Location: Tokyo (central area)

  • Hybrid setup: ~2 times per month in office (engineers)

  • Flexible working hours (10:00–19:00 baseline)

  • English-friendly, international team

  • Leadership with Silicon Valley AI background

You’ll be part of a team that values modern architecture, experimentation, and continuous iteration.

 

Why this role stands out

1. True fullstack ownership

You’ll work across frontend and backend, owning features from idea to release.

2. Work on AI-driven products

You’ll contribute to products leveraging AI, machine learning, and large-scale data.

3. Exposure to global teams

You’ll collaborate with international engineers, building experience in global development environments.

4. Early-stage impact

You’ll help shape systems, architecture, and product direction as the company scales.

 

How to Stand Out as an Applicant

1. Show end-to-end ownership

Highlight projects where you:

  • Built features across frontend and backend

  • Took ownership from requirements to deployment

2. Demonstrate technical breadth

Be clear about:

  • Frontend frameworks you’ve used

  • Backend/API development experience

  • Any exposure to cloud or infrastructure

3. Highlight collaboration

This role involves working across teams, so show:

  • Experience working with designers, PMs, or global teams

  • Examples of cross-functional communication

4. Show interest in AI and data

Even basic exposure helps:

  • APIs, data pipelines, analytics systems

  • Any curiosity or projects involving AI/ML

5. Emphasize adaptability

Startup environments change quickly—show examples where you:

  • Handled ambiguity or shifting requirements

  • Worked in fast-paced teams

 

Career Path

How to get into this role

A typical path looks like:

1. Start as a frontend or backend engineer

  • Build strong fundamentals in one area

2. Expand into fullstack development

  • Learn both frontend frameworks and backend APIs

  • Work on end-to-end features

3. Gain product and system understanding

  • Participate in design, architecture, and planning

  • Collaborate closely with product and business teams

4. Move into a role like this

  • Take ownership across the full development lifecycle

  • Contribute to both technical and product decisions

Where you can go from here

1. Senior / Lead Engineer

  • Own architecture and mentor other engineers

2. Engineering Manager

  • Lead teams and drive execution

3. Platform / Infrastructure Engineer

  • Focus on scalability, cloud systems, and performance

4. AI / Data Engineer

  • Move deeper into machine learning and data systems

5. Startup leadership path

  • Grow into technical leadership roles as the company scales

 

FAQ

Is this role more frontend or backend focused?

It’s truly fullstack. You’ll work across both frontend and backend depending on the project, so flexibility and willingness to switch contexts are important.

Do I need strong experience in both frontend and backend?

You don’t need to be equally strong in both, but you should have:

  • Solid experience in one area

  • Working knowledge of the other

The expectation is that you can contribute across the stack and grow over time.

How much AI or data knowledge do I need?

You’re not expected to be an AI expert. However:

  • Basic understanding of data-driven systems or APIs is helpful

  • Interest in AI/ML products will make it easier to ramp up

You’ll be working alongside systems that leverage AI and large-scale data.

What kind of team will I be working with?

You’ll collaborate with:

  • Engineers across frontend, backend, and infrastructure

  • International team members

  • Product stakeholders

It’s a cross-functional and global environment, so communication is key.

Do I need to speak Japanese?

No. The environment is English-friendly, and English is sufficient for daily work.

How is the work structured?

You’ll be involved in the full development lifecycle, including:

  • Planning and requirement definition

  • Development and testing

  • Ongoing improvements

Engineers are expected to own features end-to-end, not just individual tasks.

Is this more of a startup or enterprise environment?

It’s a scaling startup:

  • Fast-paced

  • Evolving product and processes

  • High ownership and flexibility

You’ll need to be comfortable with change and ambiguity.

What kind of engineers succeed here?

People who:

  • Take ownership beyond their immediate tasks

  • Are comfortable working across the stack

  • Enjoy building and improving products, not just coding

  • Can adapt quickly in a growing environment

What are the biggest challenges in this role?

  • Balancing frontend and backend responsibilities

  • Working in a fast-moving, evolving product environment

  • Navigating unclear or changing requirements

But for the right person, these are also the biggest growth opportunities.

 

Ready to apply?

Message us using this link !

 
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