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.#J-18808-Ljbffr