Senior/Staff Software Engineer (Platform)

About the Role We're an early-stage, True Ventures–backed startup using AI to modernize back-office operations for material manufacturers in the US. Our platform deploys AI agents that automate procurement, logistics, supplier sourcing, and demand planning — aggregating supplier data into a live graph that manufacturing teams use to run their operations. As a Senior/Staff Software Engineer (Platform), you'll build the core software layer that enables autonomous manufacturing operations. This is a high-ownership, central role: you'll design scalable backend services, intelligent data pipelines, and integrations with ERP and freight systems that move physical goods reliably. You'll also coordinate AI-powered agents and high-stakes transaction processing across complex manufacturing workflows. Visa sponsorship is available for this role. What You'll Do Design and scale backend services: Architect Next.js API routes, background jobs, and serverless functions that handle high-throughput order processing. Build AI-powered agents: Develop and productionize LLM-based agents, AI/ML infrastructure, and RAG patterns for intelligent quote analysis and supplier recommendations. Own the data layer: Design Supabase/PostgreSQL schemas, migrations, and complex queries for materials, quotes, orders, and supplier relationships. Architect event-driven systems: Build reliable pipelines for order state management, notification triggers, and cross-system synchronization. Implement caching and rate limiting: Design strategies for external API calls to ensure reliability at scale. Drive platform reliability: Establish monitoring, alerting, and observability patterns; own incident response for backend systems. What We're Looking For Required: Experience working within the supply chain domain (manufacturing, procurement, sourcing, or logistics). Strong CS fundamentals — all educational backgrounds are welcome. Strongly valued: Experience designing reliable data processing with transactional guarantees: ACID semantics, exactly-once processing, and idempotent APIs. Experience with NLP/ML pipelines to extract data from unstructured documents and emails, including OCR and information extraction. Domain knowledge of manufacturing supply chain, procurement, and logistics workflows. Experience integrating with ERP systems (e.g., SAP, Oracle) and freight/carrier APIs, including legacy or poorly documented interfaces. Tech stack: TypeScript, Node.js, Python, PostgreSQL, LLMs, vector databases, RAG architectures, CI/CD, containerization, AWS, RESTful patterns. We're open to a range of experience levels — roughly 2–10+ years — and will calibrate seniority (Senior or Staff) based on your background. Compensation & Benefits Salary: $160,000 – $250,000 USD annually, depending on seniority and experience. Early-stage equity in a funded, high-growth company. Visa sponsorship available. Location This is a full-time, on-site role based in San Francisco, CA. Candidates should be prepared to work from the office.