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(Full Remote) AI Solutions Engineer | Generative AI / RAG

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(Full Remote) AI Solutions Engineer | Generative AI / RAG

GAIDOOR RECRUIT

(Full Remote) AI Solutions Engineer | Generative AI / RAG

Skills

DockerVueNodeTypescriptPythonAIAWSTerraformAzure

8 days ago

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Important information


Contract type:

Permanent

Location:

Japan

Work mode:

Remote

Published on:

16 October 2026

What they need


One of the leading AI companies we work closely with is looking for a Forward Deployed Engineer (FDE) to lead enterprise Generative AI implementation projects.

  • This is a Full Remote position from anywhere in Japan, with an annual salary of up to ¥15M.
  • Japanese Business Level Required

You will work directly with major enterprise customers and take end-to-end ownership of Generative AI projects — from technical proposals and requirements definition to architecture design, PoC, hands-on development, and production deployment.

The company develops proprietary Japanese-language LLMs and enterprise AI solutions combining LLMs, high-accuracy RAG, and AI agents. Its solutions have already been adopted by more than 300 companies, including major enterprises.

Job Responsibilities

・Understand customer business challenges and translate them into technical and system requirements

・Provide technical support and consulting for new customer proposals

・Assess technical feasibility, system constraints, development scope, and required resources

・Design architectures and develop technical roadmaps for Generative AI solutions

・Lead projects from PoC through production deployment from a technical perspective

・Develop solutions utilizing LLMs, RAG, AI agents, and related technologies

・Collaborate with consultants, backend engineers, data scientists, SREs, and other team members

・Participate hands-on in prototype development and implementation

・Apply technical knowledge gained through customer projects to product and platform improvements

Development Environment

TypeScript / Vue.js / Node.js / Python / Docker / Terraform / AWS / Azure

About the Company

The company is a Japan-based AI technology company with strong expertise in Generative AI and LLM technologies.

Rather than simply utilizing external AI models, the company has the technical capabilities to develop large-scale Japanese-language LLMs in-house and focuses on implementing AI solutions tailored to complex enterprise business environments.

Its solutions have already been implemented by more than 300 companies, including major enterprises, and the organization currently has approximately 150 employees.

In 2024, the company raised ¥4.5 billion in funding, bringing its total funding to approximately ¥8.8 billion.

Requirements

・System development experience at an SIer or in commissioned/custom development projects

・Practical experience in system design and implementation

・Ability to independently research, validate, and solve unfamiliar technical challenges

・Ability to understand architecture diagrams and system constraints and determine appropriate implementation approaches

・Experience communicating directly with customers and solving business challenges through technology

・Ability to handle both technical consulting and hands-on development

・Ability to communicate smoothly in business-level Japanese, including technical topics

・Currently residing in Japan

Compensation

Expected Annual Salary: ¥7.5M ~ ¥15M

Salary Review: Twice a year

Location

Tokyo / Full Remote Work Available Within Japan

Working Style

・Primarily full remote

・Work from anywhere within Japan regardless of region

・Flex-time system

・Core hours: 10:00 – 14:00

・Average monthly overtime: approximately 10 – 20 hours

Holidays & Leave

・123 annual holidays

・Five-day workweek (Saturdays, Sundays, and national holidays off)

・Year-end and New Year holidays

・Paid annual leave

・Maternity leave

・Childcare leave

Benefits

・Full social insurance coverage

・Corporate defined contribution pension plan

・Up to ¥240,000 per year in financial support for professional development and AI-related activities

・Transportation expenses

・Regular health checkups

・Influenza vaccinations

・Company-provided PC

・Five-day onboarding program after joining

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