Software Engineer (Product)

Sakana AI • LLM & Generative AI • Foundation Models • Python • 2 months ago

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Salary

≈ $31k – $79k per year (Estimated)

Location

Hybrid (Tokyo, Japan)

Seniority

Middle · 3+ years exp

Employment

Full-Time

First seen by Alion on Aug 20, 2026.

Overview

Company

Impact

Profile match

Sakana AI

Sakana AI is a Tokyo research laboratory taking a nature inspired approach to foundation models, favouring collective intelligence and evolutionary methods over ever larger single models. Its published work includes evolutionary model merging, the AI Scientist system that runs a full research cycle end to end, and Japanese language model research. The company was founded by former Google researchers including a co-author of the transformer paper and has become Japan's most prominent artificial intelligence startup.

sakana.ai • HQ: Tokyo, Japan • LLM & Generative AI • Foundation Models • AI Research Labs • Est. 2023

Tech stack of Sakana AI

Backed by NEA, Lux Capital, Khosla Ventures

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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