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You will design and scale backend services, AI/ML infrastructure, and data pipelines to support complex supply chain workflows. Additionally, you will own incident response, monitoring, and observability for the platform's backend systems.
Join the platform team at an early-stage AI company working in manufacturing supply chains. You will build the backend services, data systems, and AI capabilities that support reliable procurement and movement of materials through complex workflows.
Design and scale backend services with Next.js API routes, background jobs, and serverless functions for high-throughput order processing.
Build and productionize LLM-based agents, AI/ML infrastructure, and RAG patterns for quote analysis and supplier recommendations.
Design PostgreSQL schemas, migrations, and complex queries for materials, quotes, orders, and supplier relationships.
Build reliable event-driven pipelines for order state management, notifications, and cross-system synchronization.
Implement caching and rate limiting to support dependable external API integrations.
Establish monitoring, alerting, and observability practices, and own incident response for backend systems.
Staff or Senior Staff-level experience and a track record of building products and systems from the ground up, with 4 to 12 years of professional experience.
Professional TypeScript experience and recent hands-on experience with Next.js, plus full-stack experience across TypeScript, Python, and Go.
A strong data engineering background, including data pipelines and large-scale data processing.
Hands-on AI development or AI infrastructure experience, including production LLM products, LLMOps, model evaluation, and familiarity with the broader AI/ML lifecycle.
Experience with AWS or other cloud infrastructure, including security and data privacy, and with owning internal tools and systems end to end.
Manufacturing supply chain, procurement, or logistics domain knowledge is valuable.
Base salary: $160,000 to $250,000 annually. Visa sponsorship is available.
Remote within the United States. Primary location: San Francisco, California.
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