Gaijin Hunter Careers · Japan

Software Engineer (Product)

Sakana AI · Tokyo
Visa sponsorship
Not stated — ask
Apply from abroad
✓ Yes stated in posting
Japanese required
Conversational stated in posting
English level
Business / Professional stated in posting
Salary
Not listed
Work style
Remote / hybrid OK stated in posting
Employment
Full-time
Source
japandev · Curated
Apply on japandev ↗ japan-dev.com
★ Why this fits foreign applicants · 43/100
  • Posting is mostly English
  • Conversational Japanese expected
  • Apply from abroad
  • Remote or hybrid OK
  • Curated source
  • Recently posted
⚠ Things to check: Salary not listed
Salary context
This posting doesn't list pay. Comparable Software Engineering roles typically pay ¥3.6M–¥9.8M (median ¥8.0M), based on 47 listed postings. See salary insights →

Job details

Job ID
sakana-ai/sakana-ai-software-engineer-product-igixug
Posted
2026-06-08
Career level
Mid-level
English
Business / Professional
Japanese
Conversational

Description

Main Roles and Responsibilities Full-stack design and implementation of products: covering front-end (React/Next.js, etc.), backend APIs, databases, and cloud infrastructure. Building and operating the production platform: building and improving CI/CD, monitoring, scaling, security, etc. Integrating ML/AI models into products: collaborating with Applied Research Engineers to implement LLM inference, memory systems, search algorithms, etc., into the product. Fast development cycle: quickly moving from hypothesis generation to prototype, validation, and improvement, working closely with the Product Owner. Collaboration in a global team: working collaboratively within an international team using both Japanese and English. Requirements 3+ years of practical experience as a Software Engineer in a production environment, or equivalent experience. Experience with full-stack development. Experience in designing, developing, and releasing user-facing products. Experience in autonomous development within a small team. Practical experience with Python and one or more modern web frameworks. Experience with Docker containerization and using cloud platforms. Preferred Skills (Nice to Have) Experience with serving and inference optimization of AI/ML models. Experience with DevOps / Infrastructure as Code. Experience at an AI/ML startup or a product-driven company.

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