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Sakana AI

Orchestrates multiple LLMs via API

Applied Research Engineer - Enterprise

AI ResearchConfirmed live in the last 24 hours
Full-timeMinato City, Tokyo, JapanNo salary listed

About the Job

Requirements

  • Understand Japanese business documents and be proficient in business-level Japanese.
  • Have experience using generative AI technologies such as large language models or AI agents, with knowledge, experience, or interest in multiple listed skill areas.
  • Have experience in designing, training, evaluating, or improving models using reinforcement learning, supervised learning, or unsupervised learning.
  • Have experience spanning the data science process from problem definition and data analysis through feature engineering, model implementation, and value validation.
  • Have operational know-how with AI-assisted coding tools such as GitHub Copilot, Cursor, Devin, or Claude Code.

Responsibilities

  • Provide innovative solutions to customers using cutting-edge AI technology.
  • Develop a deep understanding of domain knowledge, devise paths to solve problems, and communicate with customers.
  • Define requirements and propose technical approaches in ambiguous problem settings and rapidly evolving technical environments.
  • Research and develop high-impact AI technologies that are core to projects.
  • Consider productizing Sakana AI research results, technologies, and solutions.

Desired Qualifications

  • Business-level English proficiency.
  • Experience in data analysis competitions such as Kaggle.
  • Professional experience in the finance or manufacturing industries.
  • Experience working with customers to define a target state and delivering solutions through technical validation.
  • A bachelor's or master's degree in computer science, machine learning, or a related field; degrees in physics, mathematics, business administration, economics, or law are also welcome.

About the Company

Sakana AI

Orchestrates multiple LLMs via API

Sakana AI builds AI foundation models and a multi-agent orchestration platform. Its flagship product, Sakana Fugu, runs as a single language-model interface that plans, delegates to, and combines outputs from a swappable pool of LLMs—including closed frontier models, open models, and its own instances—behind an OpenAI-compatible API. Fugu comes in two flavors: a low-latency everyday model and Fugu Ultra for tackling tough, multi-step tasks in software engineering, scientific research, and cybersecurity. The company differentiates itself by treating orchestration as a core capability to hedge against vendor lock-in and export-control shifts, using techniques like evolutionary model merging and agentic research systems. Sakana aims to provide reliable, flexible AI tooling for developers and enterprises through its API and tool integrations, while continuing to publish research on learned model orchestration.

Company size
201-500
Company stage
Series B
Total funding
$365M
Headquarters
Tokyo, Japan
Founded
2023

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