AI Transformation Engineer

Sauce•Miami, FL

3d•Hybrid

About The Position

Sauce is seeking an AI Transformation Engineer to lead AI-first transformation, starting with the operations department. This role is for a builder-architect who can take an operational business problem end-to-end, acting as their own PM, designing the architecture, and building until it's solved. The engineer will operate across teams and codebases in an R&D organization with legacy practices and guide it into the AI-first era. This is a 10X-accelerator role where the individual gets a problem, not a ticket, and owns scoping, solution design, delivery, and adoption without a PM layer or sprint ceremonies.

Requirements

Almost a technical founder: have built products or companies (or operated like you did), and still love to build.
PM + Architect + Engineer in one: don't need requirements written for you; write them, then execute.
A strong software architect: build proper, extensible systems, not duct-tape automations; extend cleanly and never break what exists.
AI-native: deep, current, hands-on experience with LLMs, agents, and AI-assisted development; know what's possible this month, not last year.
Relentless: energy to push until the problem is solved; "no matter what" is your operating mode.
Multi-domain: comfortable in unfamiliar codebases, stacks, and business areas.
A transformation driver: have changed how a team or company works, not just shipped features into it.
AI agents in production: tool use, structured outputs, multi-step orchestration, evals, human-in-the-loop design.
Ops automation: n8n or similar workflow platforms, operational UIs, CRM integrations (HubSpot a plus).
AI-first development: expert with Cursor / Claude Code / equivalent as primary build tools.
Full-stack: Node.js + React or equivalent; PostgreSQL or similar.
Architecture: API design, third-party integrations, cloud deployment (Azure / AWS / GCP).
Security awareness: move fast with emerging tech while keeping systems secure.

Nice To Haves

Founder / Founding-engineer experience
HubSpot API
MongoDB
Playwright / Browser automation
Chrome extensions
Restaurant or logistics domain knowledge

Responsibilities

Own operations problems end-to-end: Understand the operational pain, define the solution, be its PM, architect it, build it, ship it, and iterate until it actually works in production.
Drive AI transformation across the company: Introduce AI-first practices into an R&D org with legacy habits; champion new tooling and prove it with shipped results.
Design and deploy agentic systems: AI agents, human-in-the-loop workflows, operational UIs, CRM integrations, n8n/orchestration pipelines that automate ops end-to-end.
Cross boundaries freely: Get into other teams' code, other domains, other stacks; no "not my area".
Work directly with business stakeholders: Translate vague operational feedback into precise, well-architected solutions.
Set priorities with business and ops leadership.