Senior Software Engineer Equity at CommodityAI

Job Title

Senior Software Engineer

Not Disclosed + Equity

CommodityAI is a YC W24-backed startup building the operating system for the global commodities industry. Supported by Rebel Fund and the founders of You Tube and Reddit, the company manages billions in contract value by using AI to automate manual operations across energy, metals, and agricultural supply chains as they approach Series A.

As a Senior Software Engineer at CommodityAI, you will architect core technical pillars for an industry-scale operating system. You will build high-throughput backend APIs and production AI agents that transform unstructured data into deterministic trade insights. Working directly with founders, you ll solve complex logistical challenges while scaling infrastructure for global transaction volumes.

San Francisco, USA

• Join a fast-growing YC W24 company backed by tech royalty, including the founders of You Tube and Reddit, as they approach a Series A milestone.
• Directly influence the architecture of a platform managing billions of dollars in transaction value for the foundational sectors of global trade.
• Operate in a high-trust, low-bureaucracy environment in San Francisco where you have a direct seat at the table alongside the founding team.

• Design and scale robust backend APIs and data pipelines using Python and Go to process massive commercial contract volumes.
• Architect agentic AI systems and structured extraction pipelines that turn chaotic PDFs and emails into reliable, production-ready data.
• Own end-to-end product features across the full stack, from sophisticated data orchestration to clean, intuitive user workflows in React.

• Brings 6+ years of engineering experience, with a proven track record as a core contributor at high-growth startups or early technical leadership.
• Possesses hands-on expertise deploying production AI/LLM systems, specifically focusing on structured outputs, retrieval-augmented generation, or complex agent orchestration.
• Demonstrates strong business curiosity and technical judgment, effectively translating messy real-world logistics into elegant, high-performance code and pragmatic engineering trade-offs.