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You will design and scale backend services, data pipelines, and AI-powered agents to support complex manufacturing workflows. Additionally, you will own backend incident response and establish observability practices for high-throughput order processing systems.
Join the Platform team at an early-stage AI and manufacturing supply chain company. You will build the backend services, data pipelines, and integrations that support AI-powered agents and reliable movement of goods through complex manufacturing workflows.
Design and scale backend services using 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 event-driven pipelines for order state management, notifications, and synchronization across systems.
Implement caching, rate limiting, and reliability patterns for external API integrations.
Establish monitoring, alerting, and observability practices, and own backend incident response.
At least 5 years of production experience building backend services, data pipelines, or platform infrastructure.
Recent hands-on experience with web and AI product development, including Next.js, TypeScript, and agentic frameworks.
Experience building NLP or ML pipelines to extract information from unstructured documents, including OCR.
Strong experience with transactional guarantees, ACID semantics, exactly-once processing, and idempotent APIs.
Experience scaling PostgreSQL or other relational databases, and building event-driven systems or reliable data pipelines.
Experience integrating ERP systems and third-party APIs, including legacy or poorly documented interfaces.
Background in manufacturing supply chain, procurement, or logistics, with strong computer science fundamentals.
Annual salary range: $160,000 to $250,000 USD. Visa sponsorship is available.
Remote. Primary location: San Francisco, California, United States.
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