Overview Diagon is a well-funded startup building the next-generation platform for sourcing high-tech manufacturing equipment — in minutes, not months. Powered by AI, proprietary data, and deep domain expertise, we help the world’s most ambitious manufacturers move faster and smarter. We’re a lean, senior-led team moving fast to lead the reindustrialization of America. Responsibilities Build and ship core features across frontend and backend for Albus and the Diagon platform. Design simple, effective UIs and workflows for managing manufacturing data. Develop and maintain data pipelines to bring in high-quality information. Create APIs to share structured knowledge and support sourcing workflows. Use and extend AI tools to improve data quality, speed decisions, and automate tasks. Qualifications 7+ years shipping production software across the stack. Strong backend and data modeling skills. Experience with AI/LLM workflows, including: Calling LLM APIs (chat completions, embeddings, web search, etc.); Fine-tuning or customizing outputs using tools like LangChain, LlamaIndex, or RAG pipelines; Working with agent frameworks (e.g. AutoGPT, CrewAI, LangGraph). Familiarity with our modern web app stack: TypeScript, Node.js, Next.js, React, Shadcn/ui, PostgreSQL, Drizzle. Experience with large-scale data ingestion or web scraping. Experience in manufacturing tech, marketplaces, or hardware sourcing. Prior founding/principal engineer experience at a high-growth startup.

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