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. • Depth in either Python/backend engineering or TypeScript/React frontend engineering, plus the ability and desire to work effectively across the full stack. • Experience building with LLMs, speech models, computer vision, or agent systems beyond a toy prototype. • Product judgment: you can simplify scope, identify the highest-leverage user problem, and distinguish an impressive demo from a valuable product. • Experience designing APIs, data models, asynchronous workflows, and integrations with external systems. • A strong quality bar for testing, observability, security, reliability, and user experience. • Comfort working directly with users and operating in a fast-changing startup environment. • AI-native working habits paired with independent technical judgment. Benefits • Competitive Salary and Stock Option Plan. • Medical, dental, vision, retirement, leave, and disability benefits as applicable. • Family Leave • Short Term & Long Term Disability • Paid time off and company holidays. • Learning and development support.