Developer Training Engineer

About the Role

We are seeking a highly motivated and technically fluent Developer Relations Engineer to join our founding team. In this role, you will lead efforts to grow and engage a global developer community around a groundbreaking open-source stack for industrial-grade LLM applications. You’ll own initiatives across content creation, community engagement, technical partnerships, and product evangelism—driving real adoption through hands-on collaboration with builders and researchers alike.

This is a unique opportunity to work alongside a highly technical team and directly shape the future of LLM infrastructure from day one.

What You’ll Do

• Create and publish high-quality technical content including demos, tutorials, blogs, docs, and videos.

• Build reference integrations with adjacent tools and frameworks to showcase real-world use cases.

• Represent the team at events, webinars, podcasts, and meetups to share our mission and engage with the community.

• Collaborate closely with engineering to collect and relay user feedback into the product roadmap.

• Grow and moderate online communities (e.g., GitHub, Discord, X/Twitter) with a builder-first mindset.

• Drive strategic partnerships that accelerate product adoption across key ecosystems.

About You

• You have a strong technical background and can hold your own with engineers—whether debugging a toolchain or whiteboarding architecture.

• You’re a natural communicator who loves translating complex ideas into digestible formats.

• You’ve built a community, launched a product, or played a visible role in growing a developer audience.

• You’re a proactive self-starter, willing to get scrappy and experiment.

• You thrive in fast-paced environments and want to help define culture, not just follow it.

• You are based in or willing to relocate to NYC and work on-site with the founding team.

Why Join

• High-impact work: Join at the ground floor of a deeply technical and mission-driven open-source startup.

• World-class peers: Collaborate with former compiler maintainers, ML researchers from top institutions, and engineers with deep systems and infrastructure experience.

• Open source focus: The majority of your work will be visible and impactful across the AI ecosystem.

• Ambitious vision: Help pioneer how LLM applications learn from production and evolve in real-time.

• Well-funded runway: Backed by top investors with a long-term mindset and commitment to open-source innovation.