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Own the architecture, development, deployment, monitoring, and on-call operations of backend systems powering AI shopping agents. Build resilient checkout agents, scalable product ingestion infrastructure, embedding-based search and ranking, and automated recovery for changing retailer systems. The role requires strong Python, production ownership, systems reliability, and comfort working in an evolving environment. Experience with AI agents, LLMs, machine learning, e-commerce, payments, or fraud infrastructure is preferred.

Own backend and infrastructure for AI shopping agents, including live checkout automation, large-scale product ingestion, search and ranking, deployment, monitoring, databases, observability, and on-call operations. Build reliable systems that handle changing retailer environments, real payments, and continuously evolving catalogs. Partner directly with the CTO and improve failure recovery, correctness, and scalability. Experience with AI agents, LLMs, retrieval, ranking, e-commerce, payments, or fraud infrastructure is valued.

Own backend architecture, code, deployments, monitoring, and on-call for AI shopping agents that perform live purchases. Build resilient checkout automation, scalable product ingestion infrastructure, embedding-based search and ranking, and systems that automatically detect and recover from failures. The role requires strong Python, end-to-end production ownership, and comfort with ambiguous, adversarial systems. Experience with AI agents, LLMs, machine learning, e-commerce, payments, or fraud infrastructure is preferred.

Own backend and infrastructure for AI shopping agents, including live checkout automation, large-scale product ingestion, search and ranking, deployments, monitoring, databases, and on-call operations. Build reliable systems that handle changing retailer environments, real payments, and continuously evolving catalogs. Work closely with the CTO in a fast-moving environment.