AI Transformation Engineer

Sauce

AI Transformation Engineer building systems and leading AI transformation in operations for Sauce. Tackling operational pain and designing solutions across teams and technologies.

Posted 7/23/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI transformation and operational automation, with a strong focus on building extensible systems and driving cross-domain collaboration. Proficient in full-stack development and architecting solutions that integrate AI agents and operational workflows.

Highest-signal resume keywords

AI-Native ExperienceFull-Stack DevelopmentOperational AutomationSoftware ArchitectureTransformation Driver

ATS Keywords

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Hard Skills

AI Agents in ProductionNode.jsReactPostgreSQLAPI DesignCloud DeploymentOps AutomationHuman-in-the-Loop DesignMulti-Domain ComfortSecurity Awareness

Soft Skills

Relentless Problem SolvingCross-Functional CollaborationStakeholder Communication

Tools & Technologies

N8nHubSpotCursorClaude CodeAzureAWSGCPMongoDBPlaywrightChrome Extensions

Industry Keywords

AI-First PracticesOperational UIsR&DLegacy SystemsLogistics Domain Knowledge

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaScriptNode.jsPostgresReact

About the role

Key responsibilities & impact

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
Reports to VP, R&D; works directly with business and ops leadership — you set priorities with them, not receive them

Requirements

What you’ll need

Almost a technical founder — you've built products or companies (or operated like you did), and you still love to build
PM + Architect + Engineer in one — you don't need requirements written for you; you write them, then execute
A strong software architect — you build proper, extensible systems, not duct-tape automations; you extend cleanly and never break what exists
AI-native — deep, current, hands-on experience with LLMs, agents, and AI-assisted development; you 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 — you've changed how a team or company works, not just shipped features into it
Technical Experience
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 Have
Founder / Founding-engineer experience
HubSpot API
MongoDBPlaywright / Browser automation
Chrome extensions
Restaurant or logistics domain knowledge

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