AI Operations Engineer

Cube

AI Operations Engineer at Cube, building systems for automated workflows and AI infrastructure. Focused on enabling operational efficiency across teams while ensuring data integrity.

Posted 4/17/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $140,000 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Build and maintain AI assistants or guardrails that review internal and external communications for alignment with approved messaging and brand standards.
Develop and manage RAG systems so Sales, Support, and internal teams receive answers based only on current, approved documentation.
Create automated workflows that transform product updates into tailored talk tracks, Slack updates, enablement content, and email templates for different departments.
Build internal AI agents that coach employees on processes such as deal desk approvals, messaging guidance, and internal operations.
Embed AI functionality into tools such as Slack, Salesforce, and Guru so support is available directly in the flow of work.
Conduct regular audits of AI outputs to prevent messaging drift and ensure systems are using the most recent business strategy and approved content.
Maintain a centralized, version-controlled library of tested prompts and workflows that drive accurate, repeatable outputs.
Track usage analytics and adoption trends to identify enablement gaps, workflow inefficiencies, or areas where messaging is not sticking.
Ensure all internal data used in AI systems remains secure and aligned with company privacy and compliance standards.

Requirements

What you’ll need

Strong proficiency in Python and experience connecting business systems through APIs.
Hands-on experience with AI orchestration frameworks such as LangChain, LlamaIndex, or similar tools.
Experience working with vector databases such as Pinecone, Weaviate, or related technologies.
Experience with automation platforms such as n8n, Zapier, or Make to connect AI workflows across business systems.
Ability to programmatically enforce structured outputs such as JSON, templates, or workflow logic to ensure consistency.
Strong systems thinking with the ability to build scalable solutions that solve problems across teams.
Excellent communication skills and the ability to work cross-functionally with GTM, Operations, Product, and Leadership teams.

Benefits

Comp & perks

We provide 100% covered employee medical, dental, and vision insurance options, including FSA/HSA options plus free memberships to OneMedical, Teladoc, and Talkspace.
Our flexible paid vacation and sick/mental health time guidelines help you get the time and space you need.
We offer stock options to all full-time employees of Cube, as we want you to be connected to the success of the company.
We offer 12 weeks of 100% paid parental leave for the birthing parent.
We offer each Cuber a quarterly learning budget to spend on books, classes, or events that support your development.
You’ll be joining an experienced team of tech startup leaders who are eager to work with you and provide support and mentorship!
You’ll work for a company that our customers are truly excited about!

ATS Keywords

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Hard Skills & Tools

PythonAPIsAI orchestration frameworksLangChainLlamaIndexvector databasesPineconeWeaviateautomation platformsn8n

Soft Skills

systems thinkingcommunicationcross-functional collaboration