Senior Software Engineer

CommodityAI•San Francisco, CA

5h•Onsite

About The Position

CommodityAI is building the operating system for the global commodities industry—the foundational sector responsible for moving the world's energy, metals, and agricultural resources. Today, our platform actively manages billions of dollars of commercial contracts. Behind every physical trade and shipment lies an incredibly complex layer of manual operations, with critical data trapped in unstructured emails, PDFs, and legacy software. CommodityAI serves as a digital operator that continuously interprets trade data, reconciles physical movements, and flags operational risks in real time. We are a Y Combinator-backed company (W24) supported by top-tier investors, including Rebel Fund and the founders of YouTube and Reddit. We are currently scaling our engineering team in San Francisco to expand our platform's capabilities, handle rapidly growing transaction volumes, and deepen our intelligent automation workflows.

Requirements

6+ years of professional software engineering experience, ideally as an early technical leader or core contributor at a high-growth startup.
Hands-on experience with production AI: You have built and deployed LLM- or agent-based systems in real-world settings (specifically addressing structured outputs, retrieval, or orchestration).
Strong technical judgment: You understand how to make pragmatic trade-offs between execution speed, system reliability, and long-term technical debt.
End-to-end ownership: You take pride in owning projects from initial architecture through to implementation, deployment, and monitoring.
Based in or willing to relocate to San Francisco for regular in-person collaboration.

Responsibilities

Design, scale, and maintain the backend APIs and data pipelines that process billions of dollars in transaction value.
Architect agentic systems, structured extraction pipelines, and evaluation frameworks that turn chaotic, real-world documents into deterministic data.
Work across our stack (React, TypeScript, Python, Go, Node) to deliver end-to-end features, from robust data orchestration to clean frontend user workflows.
Collaborate with customers and the founding team to understand complex logistical problems and translate them into reliable, production-ready software.