ai& is a new global AI technology company dedicated to meeting the world's growing demand for AI. Our vision is twofold: to serve as a premier AI lab specializing in localization, and to act as a global infrastructure and compute provider. We are building a unified, optimized global platform that integrates next-generation data centers and infrastructure, heterogeneous compute serving, and advanced model services. We believe that the most effective way to build and scale AI is to own the stack from top to bottom.
At ai&, we empower small teams with the autonomy needed to tackle significant challenges. Our approach is to deconstruct large problems into manageable components and solve complex issues collaboratively. We seek highly motivated, mission-driven individuals who demonstrate strong personal agency. We value curiosity as the foundation of talent, and we are looking for people eager to develop alongside our evolving technology and expanding business.
We are actively hiring worldwide, with presence in Tokyo, SF, Austin, and Toronto. We are more than happy to meet exceptional talent where they are.
Role overviewAs our Developer Relations lead, you will build and grow the community of developers building on ai& infrastructure. We are not a model API with a playground — we are a vertically integrated platform spanning inference serving, compute, and a developer-first PaaS. The developers who build on ai& need to understand what makes this stack different, and you are the person who shows them.
This role is equal parts technical and community-facing. You will write code, build demos, create tutorials, and ship example applications that demonstrate the real capabilities of the ai& platform. You will also be the human face of ai& in the developer community — speaking at conferences, running workshops, engaging on social channels, and building the kind of authentic relationships that make developers want to build on your platform rather than the alternatives.
You will work closely with engineering to stay current on what is shipping, with product to relay what developers actually need, and with marketing to ensure developer-facing content is technically credible and genuinely useful. Developer trust is earned through competence, consistency, and honesty — and that is exactly how you operate.
The ideal candidate has built real things on AI infrastructure, has a track record of creating content that developers actually read and share, and genuinely enjoys being in the community. If you have ever shipped a demo that made someone say "wait, how did you do that?" — this role is for you.
ResponsibilitiesTechnical Content & Documentation: Create tutorials, guides, blog posts, and example applications that show developers how to build on ai&. Content must be technically accurate, well-written, and focused on solving real problems — not marketing fluff disguised as documentation.
Demos & Example Applications: Build and maintain demo applications and reference implementations that showcase ai&'s inference platform, compute services, and PaaS capabilities. These are working code, not slide decks. They should be good enough that developers fork them and build on top.
Community Building: Build and grow ai&'s developer community across forums, social channels, Discord, GitHub, and in-person events. Be present, be helpful, and be the kind of person developers want to interact with. Grow the community through substance, not spam.
Speaking & Events: Represent ai& at developer conferences, meetups, and workshops in Japan and globally. Deliver talks that are technically substantive, demonstrate real capability, and leave developers wanting to try the platform. Run hands-on workshops that give developers real experience building on ai&.
Developer Feedback Loop: Be the bridge between the developer community and ai&'s engineering and product teams. Surface pain points, feature requests, and usability issues. Advocate for developers internally and make sure the platform gets better based on real feedback.
SDK & Developer Experience: Work with engineering to improve SDKs, CLIs, and developer-facing tools. You use the platform every day, so you are the first person to notice when something is confusing, slow, or broken. File issues, suggest improvements, and contribute fixes when appropriate.
Technical Credibility: You can write code, build applications, and debug problems. Developers trust you because you are clearly one of them, not a marketer with a GitHub account. Strong proficiency in Python and familiarity with AI/ML frameworks, inference APIs, and cloud infrastructure.
Content Creation: You have created technical content that developers have actually read, shared, and used. Blog posts, tutorials, videos, or conference talks — you have a body of work that demonstrates you can communicate complex ideas clearly.
Community Experience: You have built or contributed to developer communities. You understand what makes a community healthy, how to grow it authentically, and how to handle the inevitable difficult conversations that come with public-facing work.
AI & Infrastructure Fluency: Familiarity with AI inference, model deployment, compute platforms, or PaaS services. You understand the landscape developers are navigating and you can speak to ai&'s differentiation with credibility.
Public Speaking: Comfortable presenting to developer audiences at conferences, meetups, and workshops. You can hold a room, handle Q&A, and make technical content engaging.
Great Team Spirit: A mission-driven approach to developer relations, valuing authenticity, technical substance, and collective success over personal brand.
