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Restaurant AI handling orders, bookings, and guest messaging

Vice President of Sales

AI Infrastructure Engineer

Palona AI develops AI agents that operate continuously in production, handle real-time guest interactions, integrate with restaurant systems, and manage sharp traffic peaks. The AI Infrastructure Engineer will build and operate the cloud platform supporting Palona’s AI products, improve developer delivery processes, and own reliability, observability, security, cost, and operational outcomes across the service lifecycle.

Palona AI develops AI agents that operate continuously in production, manage real-time guest interactions, and integrate with restaurant systems. The AI Infrastructure Engineer will build and operate the cloud platform supporting these products, improve reliability and deployment practices, develop automation and internal tooling, and address performance, security, cost, and operational challenges across the service lifecycle.

AI Software Engineer, Product

Palona AI develops AI-powered products for the restaurant industry. The company is seeking a product-focused AI Software Engineer to build and ship reliable, end-to-end AI experiences across customer-facing applications, backend services, agent workflows, integrations, and evaluation systems. The role involves collaborating with product, design, customers, and restaurant operators while improving product quality, reliability, and operational performance.

AI Modeling Engineer

Palona AI develops voice and multimodal AI agents for real restaurant environments. The AI Modeling Engineer will improve agent intelligence, accuracy, safety, latency, and cost through model selection, prompting, evaluation, dataset development, post-training, and production feedback loops. This product-facing role collaborates across engineering, product, research, and customer-facing teams to deliver reliable modeling improvements.

Palona AI develops voice and multimodal AI agents for real-world restaurant environments. The AI Modeling Engineer will improve agent intelligence, accuracy, safety, latency, and cost through model selection, prompting, fine-tuning, evaluation, dataset development, and production feedback loops. This product-facing role collaborates across engineering, product, and customer-facing teams to deploy reliable model improvements.