AI Staff Engineer

Sauce

AI Staff Engineer leading AI-first transformation at Sauce restaurant technology platform. Designing architecture and building solutions for operational business problems.

Posted 7/30/2026full-timeMiami • Florida • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong full-stack development capabilities with hands-on experience in building AI-native features using LLM APIs and SDKs. Proven ability to take product ideas from concept to deployment while maintaining a user-focused approach and iterating rapidly in a fast-paced environment.

Highest-signal resume keywords

LLM API ExperienceFull-Stack DevelopmentTypeScript / Python ProficiencyAI Product DevelopmentProduct Mindset

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Full-Stack DevelopmentLLM API ExperienceTypeScriptPythonModel IntegrationDatabase ManagementFrontend DevelopmentBackend DevelopmentAI-Native Feature DevelopmentProduction Application Shipping

Soft Skills

Comfortable with AmbiguityFast IterationUser-Centric MindsetCollaborationProblem-Solving

Tools & Technologies

OpenAI SDKAnthropic SDKAgent FrameworksEval FrameworksVector StoresProduction LLM Tooling

Industry Keywords

AI ApplicationsMarketplace TechnologyLogistics/Delivery TechRestaurant TechLocal-Commerce Tech

Tech Stack

Tools & technologies

PythonTypeScript

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
**Nice to have**
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.

Benefits

Comp & perks

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