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Forward Deployed Engineer

Salary
¥10M–¥12M
Hiring from
Japan
Work type
Hybrid
Posted

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Forward Deployed Engineer (Pre-Sales) | Japan

Location: Tokyo, Japan

Employment type: Full-time

Work style: Hybrid

Compensation: JPY 10,000,000–12,000,000 per year, depending on experience and skills

※As we are in the startup phase, we ask our team members to fully commit to their roles. Outside employment and side work require prior approval and may not be permitted.



About LangGenius and Dify

LangGenius is the company behind Dify, an open-source platform for building AI applications and workflows. Headquartered in Menlo Park, California, with teams in Tokyo, Suzhou, and Shanghai, we help developers and enterprises turn AI ideas into applications and processes that can be used and operated in the real world.

Our mission is to build the most loved open-source platform and create new ways for AI, people, data, and tools to work together. Through Dify’s open-source offering and Dify Enterprise, we support organizations in moving AI beyond experimentation and into everyday operations.

Dify is used by developers in 175 countries, runs on more than 1.4 million machines, has earned over 130,000 GitHub stars, and is used by more than 280 enterprises, including Maersk, ETS, Anker, and Novartis.

Our Japan team drives the adoption of Dify in partnership with local customers and service partners, while bringing market needs and insights back to our global product team.


About the Role

We are looking for a Forward Deployed Engineer (FDE) to help enterprise customers in Japan turn generative AI opportunities into practical business outcomes.

In this role, you will serve as a technical lead throughout the customer journey—from pre-sales discussions and proof of concept (PoC) to deployment and post-implementation adoption. You will work closely with our Business Development team, customers, service partners, and global product teams to solve technical challenges and expand the use of Dify.

  • Provide technical support during enterprise sales engagements, including architecture presentations, security and non-functional requirements, RFPs, and security questionnaires.
  • Design and support PoCs, align stakeholders on evaluation criteria, and present results.
  • Recommend system architectures and deployment approaches, including self-hosted and on-premises environments, Kubernetes, SSO, and external LLM integrations.
  • Help customers design use cases, implement workflows, and expand adoption across their organizations.
  • Deliver technical training and answer technical questions for service partners.
  • Gather and communicate customer requirements and feedback to the global product team.


What We’re Looking For

  • Native-level Japanese or equivalent proficiency.
  • Approximately 3 or more years of customer-facing experience in pre-sales, systems engineering, or another technical role, including leading technical proposals or PoCs for enterprise software or SaaS.
  • Experience building and operating systems with Kubernetes, Docker, and cloud platforms such as AWS, Azure, or GCP.
  • Hands-on experience building LLM applications using RAG, prompt design, and APIs, or equivalent experience gained through independent learning.
  • English skills sufficient to read technical documentation and communicate in writing with global engineers.
  • An interest in bridging technology and business and helping customers achieve results.
  • Ability to investigate open-ended problems, test solutions, and develop effective approaches.
  • Willingness to share knowledge with teams and partners to make successful practices repeatable.


Nice to Have

  • Experience delivering enterprise projects in industries such as finance, manufacturing, or telecommunications.
  • Experience building systems in on-premises or isolated network environments and addressing security requirements.
  • Contributions to open-source software or experience sharing knowledge in technical communities.
  • Experience designing enablement or training programs for SIer partners.
  • Business-level spoken English.
  • Language skills beyond English, such as Chinese or Korean.


We believe small teams can create meaningful impact when they think deeply, use effective tools, and collaborate clearly. Our values include:

  • Simple & Sincere: Communicate openly and address important issues directly.
  • Hands-on: Build, test, learn, and share.
  • Explore the Edge: Challenge existing approaches and explore new ideas.
  • Ask Why to Bedrock: Understand underlying causes and make evidence-based decisions.
  • Honor Your Commitments: Take responsibility for outcomes and build trust.

We encourage cross-functional collaboration, AI-native ways of working, and clear communication across regions.

Compensation and Benefits

  • Annual salary of JPY 10,000,000–12,000,000, depending on experience and skills.
  • Hybrid work arrangement; remote work is available depending on business needs. Fully remote work is not available.
  • Customer-site visits as required.
  • Flextime, with core hours from 10:00 a.m. to 4:00 p.m.
  • Three-month probationary period.
  • 10 days of paid leave granted after the probationary period.
  • Support for professional learning and certifications, AI tools, health checkups, commuting expenses, fitness, and team-building meals.


Office

Business Airport Nihombashi, Nihombashi Front 1F, 3-6-2 Nihombashi, Chuo-ku, Tokyo 103-0027


Hiring Process

  1. Application review
  2. Casual conversation with the Business Development team
  3. First interview with the hiring manager and team members, focusing on technical and solution proposal experience
  4. Conversation with Japan team members
  5. Final interview with the Country Manager
  6. Offer discussion and reference check

Team member conversations and the final interview are generally held in person. The first interview may be conducted online or in person.


How to Apply

Please submit your resume and work history through our Page

If you don’t meet every requirement, we still encourage you to tell us about your experience and strengths.


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