AI Native Software Engineer
- Salary
- ¥7M–¥12M
- Hiring from
- Japan
- Work type
- Hybrid
- Posted
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Job Post
AI Native Software Engineer
Employment Type: Full-time / Permanent
Location: Tokyo, Japan
Salary: ¥7,000,000-¥12,000,000 per year
Working Style: Hybrid - 3 days in office / 2 days remote
About The Opportunity
We are looking for an AI Native Software Engineer with approximately 2-5 years of software engineering experience who wants to rapidly expand their technical expertise and ownership in AI product development.
You will work on AI systems that go beyond answering questions. Our products connect with enterprise data and SaaS platforms, understand business processes, and execute tasks end-to-end.
This is an opportunity to work on challenging problems across LLMs, AI Agents, production engineering, 0→1 development, and real-world AI applications.
What You Will Do
Depending on your strengths and interests, you may work across either customer-facing AI engineering or core AI product engineering.
Forward Deployed Engineering
Required
You Will Be a Strong Fit If You
Backend: Python
Frontend: TypeScript, React, Next.js
AI / LLM: LangChain, LangGraph
Infrastructure: GCP, Kubernetes, Docker
Data: BigQuery, PostgreSQL
Development Tools: GitHub, Linear, Slack, Notion
AI Development: Claude Code, Cursor, ChatGPT, Devin
Growth & Benefits
From the beginning, you will be given opportunities to work on real production challenges.
Within your first year, the expectation is to progress from contributing to production features to independently driving projects and eventually leading the design and implementation of your area.
Career progression is based on impact, ownership, and demonstrated capability-not simply tenure.
Selection Process
Application / Resume Screening → Coding Test → 4-5 Interviews → Reference Check → Offer
Interviews Will Focus On
AI Native Software Engineer
Employment Type: Full-time / Permanent
Location: Tokyo, Japan
Salary: ¥7,000,000-¥12,000,000 per year
Working Style: Hybrid - 3 days in office / 2 days remote
About The Opportunity
We are looking for an AI Native Software Engineer with approximately 2-5 years of software engineering experience who wants to rapidly expand their technical expertise and ownership in AI product development.
You will work on AI systems that go beyond answering questions. Our products connect with enterprise data and SaaS platforms, understand business processes, and execute tasks end-to-end.
This is an opportunity to work on challenging problems across LLMs, AI Agents, production engineering, 0→1 development, and real-world AI applications.
What You Will Do
Depending on your strengths and interests, you may work across either customer-facing AI engineering or core AI product engineering.
Forward Deployed Engineering
- Understand customer business processes, data, and existing SaaS environments
- Define technical requirements and translate business problems into AI solutions
- Design and implement AI Agents, workflows, APIs, web applications, and data pipelines
- Take ownership from PoC through production deployment and continuous improvement
- Turn customer-specific insights into reusable product capabilities
- Design and implement AI product backends, APIs, shared services, and data models
- Develop Agent Runtime, SDK, Orchestration, Memory, and Model Routing capabilities
- Improve reliability, performance, security, and cost efficiency
- Build and improve CI/CD, observability, and developer experience
- Design, implement, test, evaluate, and operate LLM/AI-powered features
- Work with production-quality systems incorporating Evals, Observability, Guardrails, Human-in-the-loop, and Abstention
- Make technical decisions and communicate trade-offs clearly
- Use AI coding tools to continuously improve development productivity and quality
Required
- Bachelor's degree or equivalent practical experience in Computer Science, Software Engineering, AI, ML, Mathematics, Physics, or a related field
- 2+ years of software engineering experience or equivalent development achievements
- Experience with Python, TypeScript, Go, or similar languages
- Experience covering requirements, design, implementation, and testing
- Experience developing or validating applications using LLMs / Generative AI
- Fluent Japanese communication skills for technical and business discussions
- Experience independently identifying and solving product or business problems
- 0→1 product development, startup, research, OSS, competitive programming, or hackathon experience
- Cloud development experience with AWS, GCP, or Azure
- Experience with AI Agents, RAG, Tool Calling, or LLM Evals
- Experience applying English technical documentation or research papers to implementation
You Will Be a Strong Fit If You
- Enjoy breaking ambiguous problems into actionable technical challenges
- Can explain technical options and trade-offs clearly
- Learn quickly from feedback and unfamiliar technologies
- Prefer building and testing hypotheses rather than waiting for perfect specifications
- Care about production quality, reliability, safety, and maintainability
- Want to grow toward Senior/Tech Lead, Staff/Principal Engineer, or Engineering Manager responsibilities
Backend: Python
Frontend: TypeScript, React, Next.js
AI / LLM: LangChain, LangGraph
Infrastructure: GCP, Kubernetes, Docker
Data: BigQuery, PostgreSQL
Development Tools: GitHub, Linear, Slack, Notion
AI Development: Claude Code, Cursor, ChatGPT, Devin
Growth & Benefits
- Company-funded AI development tools
- Annual development tool allowance
- Technical book allowance
- Japanese and English learning support
- Professional certification support
- Monthly refreshment allowance
- Housing allowance for eligible employees
- Mac with Apple Silicon and dual-monitor setup
- Twice-yearly salary review opportunities
- Twice-yearly bonuses
- Stock Option program
From the beginning, you will be given opportunities to work on real production challenges.
Within your first year, the expectation is to progress from contributing to production features to independently driving projects and eventually leading the design and implementation of your area.
Career progression is based on impact, ownership, and demonstrated capability-not simply tenure.
Selection Process
Application / Resume Screening → Coding Test → 4-5 Interviews → Reference Check → Offer
Interviews Will Focus On
- AI / AI Agent understanding
- System design and implementation
- Problem structuring
- Technical communication in Japanese
- Collaboration and team fit
