Founding Engineer at Fragment Data Technologies

You will architect the foundational infrastructure for AI agents that autonomously resolve complex procurement exceptions for global enterprises. Moving beyond simple recommendations, you will build deterministic, self-assembling systems that traverse graph-structured data and execute workflows across legacy ERPs. This is a high-impact, 0-to-1 role helping scale a platform already generating millions in revenue.

• Design and develop distributed agent pipelines capable of processing millions of data points with auditable, multi-tenant-safe behavior.
• Engineer sophisticated graph traversal and indexing systems to enable fast, lossless reasoning over a Unified Data Interface (UDI) and unstructured legacy data.
• Build a visual-text hybrid automation editor that allows agents to autonomously adapt and configure workflows to specific customer environments.

• A high-slope generalist with 2-7 years of experience who has a proven track record of shipping high-quality production code across the full stack.
• Strong background in systems engineering and hands-on experience with AI agent frameworks or complex data orchestration pipelines.
• Thrives in early-stage ambiguity and possesses the "builder’s mindset" necessary to lead 0-to-1 initiatives from architecture to customer deployment.

• Exceptional traction with mid 7-figure ARR reached in just six months with zero marketing spend, driven entirely by Fortune 500 customer references.
• Work alongside a veteran founding team with deep expertise in enterprise AI and platform engineering from market leaders like Zoom, Uber, and Instabase.
• Significant ownership and equity in a lean, high-velocity team where your architectural decisions directly dictate the trajectory of the company’s core product.