Lead end-to-end AI product development: design, build, deploy, and iterate AI-native features (agents, RAG, tool-use). Own full stack (frontend, backend, data, model integration), establish feedback loops (evals, telemetry), partner with product and operations, and make pragmatic build-vs-buy decisions to deliver production-quality AI features for restaurant operations.
Sauce is a premier restaurant technology platform that helps businesses grow with our Commission-Free Delivery & Pickup structure and proprietary delivery optimization technology. We are serving a 105 billion dollar US local restaurant business. Headquartered in NYC and Tel-Aviv, Sauce wants restaurants to fulfill their highest potential, this means giving local establishments everything they need to connect directly with their customers. The Sauce team pools together decades of restaurant tech experience, along with seasoned tech, sales, marketing, product and operations executives who produce an industry-changing delivery system for successful local restaurants and chains.
About The Role:
We're looking for a rare kind of engineer: someone who thinks AI-first, ships end-to-end, and moves at a pace that makes a small team feel like a large one. You won't be handed tickets - you'll be handed problems, often loosely defined, and trusted to decide what to build, build it, and get it in front of real restaurants and their customers fast.
This is a high-ownership, founding-level role on our growing NYC team. You'll shape how AI shows up across the Sauce platform - from delivery optimization to the tools our restaurants and operators use every day. If you're the kind of person who saw a new model launch and shipped a working product that weekend, we want to talk.
This is a high-ownership, founding-level role on our growing NYC team. You'll shape how AI shows up across the Sauce platform - from delivery optimization to the tools our restaurants and operators use every day. If you're the kind of person who saw a new model launch and shipped a working product that weekend, we want to talk.
What You'll Do:
- 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.
What You Bring:
- 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.
Nice to have
What We Offer:
- Strong & Competitive Compensation Package, Including Equity
- Company-Sponsored Insurance Package (Health, Dental, Vision, Mental Health)
- Paid Parental Leave
- Flexible Work Environment
- Responsible Paid Time Off Policy
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.
Similar Jobs
Fintech • HR Tech
Build and own full-stack services and APIs enabling businesses to offer and manage 401(k) plans. Design scalable features, evolve system architecture, establish engineering best practices, collaborate with product, design, compliance, and operations, debug production issues, and improve reliability, observability, and operational tooling. The role requires end-to-end system ownership, production support, and cross-team technical influence.
Top Skills:
Amazon SqsAPIsGraphQLMessage-Based SystemsNservicebusReactRuby On RailsSidekiq
.jpg){kind=logo}
Healthtech • Social Impact • Software • Telehealth
Build scalable distributed systems for Rula’s Marketplace Health Engine, improving provider utilization, marketplace efficiency, and patient access. Partner with Engineering, Product, Data, and Operations; lead technical strategy across teams; design backend services, APIs, and data-intensive systems; drive projects from discovery through post-launch support; solve complex marketplace problems; mentor engineers; and remain hands-on in software development.
Top Skills:
AWSKafkaNode.jsTypescript
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
Build and operate reliable, scalable cloud infrastructure supporting Webflow products. Lead initiatives that improve reliability, reduce incident and triage load, and optimize cost and performance across multi-region environments. Develop infrastructure automation, modernize services, improve on-call and incident response, collaborate with product engineering teams, participate in design reviews, and mentor junior engineers. The role requires expertise in cloud platforms, containers, infrastructure as code, Cloudflare tooling, distributed systems, and software development.
Top Skills:
AksAWSCloudflare WorkersDockerEcsEksGCPGkeGoKubernetesMesosNode.jsOpenshiftPulumiTerraformTypescript
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
