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We are looking for a product-focused AI Software Engineer to turn advances in AI into restaurant products that work reliably in the real world. You will build across customer-facing experiences, backend services, agent workflows, integrations, and evaluation systems. The job begins with a customer or product problem and ends when the solution is operating successfully in production—not when a model call works locally.

You may work on voice ordering, reservations, catering, restaurant operations, client configuration, analytics, or entirely new agent capabilities. You will collaborate directly with product, design, customer-facing teams, and restaurant operators; make fast product and technical tradeoffs; and own the quality of the resulting experience.

Our stack includes Python and FastAPI services, PostgreSQL, TypeScript, React and Next.js applications, real-time voice agents built with LiveKit, cloud infrastructure on AWS, and modern LLM, speech, and multimodal providers. Exact stack match is less important than full-stack range, product judgment, and a record of shipping.

What you’ll own

• Build and ship end-to-end AI product experiences from problem discovery and prototype through launch, measurement, and iteration.
• Develop customer-facing interfaces, backend APIs, data models, agent tools, and integrations as one coherent product.
• Design agent workflows that combine models, context, memory, business rules, deterministic services, and human escalation.
• Work directly with restaurant and internal users to understand failures, uncover unmet needs, and convert feedback into reusable product capabilities.
• Integrate with POS, reservation, messaging, telephony, and other external systems while handling imperfect data and real operational constraints.
• Build evaluations, instrumentation, guardrails, and feedback loops so probabilistic behavior can be measured and improved.
• Improve latency, reliability, accuracy, usability, and cost across the full experience—not only within one layer of the stack.
• Use AI-native development workflows to prototype and deliver quickly while retaining ownership of architecture, tests, security, and correctness.
• Participate in product and technical planning, make tradeoffs explicit, and drive decisions when the path is ambiguous.
• Raise the quality of nearby systems through code review, documentation, design discussion, and pragmatic refactoring.

Requirements

• 3+ years of industrial experience in relevant technical domain.
• Strong software engineering fundamentals and experience shipping production web or platform products.