Sauce - AI Staff Engineer
Requirements
• Hands-on experience building with LLM APIs and SDKs (OpenAI, Anthropic, or open models) - writing code against the models, not wiring up no-code/automation tools. • Strong full-stack ability: you can own a feature from database to UI without waiting on anyone (TypeScript / Python and a modern web stack). • At least 8 years of professional software engineering experience, with 3+ years building and shipping production full-stack applications. • A builder first: a public trail - open-source repos, side projects, demos, or products with real users - that shows what you ship when no one's telling you what to do. • AI-first by default: you reach for models to solve problems, keep up with the ecosystem without being told to, and know what works in production vs. what's just a nice demo. • Product-minded: you care about the user and the outcome, not just the diff - you can decide what to build, not only how. • Fast: you compress weeks into days, shipping and iterating instead of polishing in private. • Comfortable with ambiguity and a small, fast-moving team. • A meaningful open-source project people actually use (stars, forks, downloads, dependents). • AI apps you launched solo that gained real traction. • Experience with agent/eval frameworks, vector stores, and production LLM tooling. • A history of being early - building in a space before it was obvious. • Contributions to leading AI or developer-tool projects. • Experience in marketplaces, logistics/delivery, or restaurant/local-commerce tech. • Personal computer or laptop with up-to-date software • High-speed internet connection • Keyboard, mouse, working webcam, and headset with a microphone • Primary 24” monitor (with an additional 24” monitor preferred) • Sauce is an equal opportunity workplace and an affirmative action employer. We welcome all qualified applicants regardless of race, color, ancestry, religion, sex (including pregnancy and related conditions), national origin, sexual orientation, age, marital status, disability (physical or mental), gender identity, gender expression, genetic information, veteran status, citizenship, immigration status, or any other classification, category or characteristic protected by applicable federal, state or local laws. We understand the importance of creating a more diverse and inclusive workplace and celebrate our employees for their differences. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Responsibilities
• Take ambiguous product ideas from zero to shipped - design, build, deploy, and iterate, largely on your own. • Build AI-native features (agents, RAG, tool-use, structured outputs, evals) as core product, not bolted-on demos. • Own the full stack: frontend, backend, data, model integration, and the glue in between. • Stand up the feedback loops - evals, telemetry, fast iteration - that make AI products reliable in production. • Make pragmatic build-vs-buy calls and keep the team on the frontier of what models can do. • Partner closely with product and operations to turn real restaurant problems into shipped solutions. • Raise the bar on velocity and product taste for everyone around you.
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