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Sakana AI

Orchestrates multiple LLMs via API

Forward Deployed Engineer - Enterprise

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

About the Job

Requirements

  • Practical experience in data science or machine-learning projects.
  • Experience developing applications using large language models or generative AI.
  • Experience developing with Python, including data processing or API development.
  • Experience defining requirements and conducting customer-problem interviews.
  • A record of solving business problems through technology.
  • Native-level Japanese proficiency for business discussions with customers.

Responsibilities

  • Understand customers’ operations, data, and existing systems, then design solutions.
  • Organize necessary analyses, assumptions, and hypotheses, and rapidly build prototypes to align understanding with customers and the team.
  • Connect dispersed data and systems to build enterprise context that AI can use.
  • Analyze issues arising in production and continuously improve solutions.
  • Explain proposals to multiple departments and stakeholders, and advance decision-making and consensus-building.
  • Develop using Sakana AI’s platform and return project requirements and insights to the Platform Team.
  • Advance the real-world implementation of AI.
  • Develop a deep understanding of customers’ businesses.
  • Use the platform and strengthen it.

Desired Qualifications

  • Experience in data science client work.
  • Experience developing customer-facing solutions at an AI company.
  • Work or project experience in the financial industry, such as banking, securities, or insurance.
  • Experience building AI agents or multi-agent systems.
  • Business-level English proficiency, beneficial for collaboration with the Research team.
  • Project-management or team-lead experience.

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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