Build and own the core platform powering AI agents for supply chain operations. Responsibilities include customer-facing feature development, secure data models, event-driven pipelines, APIs, real-time operator consoles, ERP and logistics integrations, synchronization infrastructure, observability, SLOs, and on-call practices. The role spans backend, data engineering, and frontend development in a hybrid startup environment.

Design and scale backend services, data pipelines, event-driven systems, and integrations supporting autonomous manufacturing operations. Build LLM agents and RAG workflows for supplier document analysis, manage PostgreSQL data models, integrate ERP and freight APIs, implement caching and rate limiting, and establish observability and incident response practices. The role requires transactional processing expertise, NLP/ML pipeline experience, and manufacturing supply chain domain knowledge.

Own the end-to-end computer vision platform for fine-grained item identification and pricing. Responsibilities include designing and fine-tuning vision models, defining evaluation and confidence standards, building labeling feedback loops, prioritizing coverage versus accuracy, and deploying reliable, low-latency serving infrastructure at scale. The role also communicates model capabilities and trade-offs to technical and non-technical stakeholders.