Job Description
Job Description
About the Role & Company
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. ofcommercial 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. adigital operator that continuously interprets trade data, reconciles physical movements, and flags operational risks in real time.
We are. aY 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.
What You’ll Do
• Build Core Systems: Design, scale, and maintain the backend APIs and data pipelines that process billions of dollars in transaction value.
• Deploy Production AI/LLM Workflows: Architect agentic systems, structured extraction pipelines, and evaluation frameworks that turn chaotic, real-world documents into deterministic data.
• Full-Stack Execution: Work across our stack (React, TypeScript, Python, Go, Node) to deliver end-to-end features, from robust data orchestration to clean frontend user workflows.
• Own Product Outcomes: Collaborate with customers and the founding team to understand complex logistical problems and translate them into reliable, production-ready software.
Requirements
Who You Are
We are looking for a senior- or staff-level engineer with a strong track record in fast-paced startup environments who prefers context over control and operates with a high degree of agency.
• 6+ years of professional software engineering experience, ideally as. anearly 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.
• Location: Based in or willing to relocate to San Francisco for regular in-person collaboration.
Benefits
Benefits & Culture
• Competitive base salary with meaningful early-stage equity.
• Comprehensive health, dental, and vision insurance.
• A high-trust, low-bureaucracy environment where you have a direct seat at the table.
• Direct collaboration with the founder, Kyle Franz, and an agile, elite technical team.