Internal AI Operations Engineer

Swoogo

Internal AI Operations Engineer at Swoogo creating AI-powered internal tools and workflows for various departments. Prioritizing requests and managing the full lifecycle of internal AI tools.

Posted 6/9/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

Intake, prioritize, and execute internal AI tool requests from stakeholders across the org
Build and ship internal tools using AI APIs (Claude, OpenAI, etc.), MCP workflows, and modern deployment platforms (Vercel, GitHub)
Audit and document existing MCP integrations to identify which are reliable, which have data gaps, and which should be deprecated or improved
Establish best practices for how internal teams use AI tools, including security, credential management, token usage, and version control
Manage the full lifecycle of internal tools: scoping, building, deploying, credentialing, monitoring usage, and iterating based on feedback
Identify opportunities proactively rather than waiting to be assigned tasks, bringing a creative and strategic lens to where AI can drive the most impact
Collaborate with Engineering and Product to bridge gaps between internal tooling needs and platform capabilities

Requirements

What you’ll need

3-5 years of experience
Built and shipped internal / external tools, automations, or AI-powered workflows in a SaaS, tech, or startup environment
Worked with AI APIs and LLMs (Claude, OpenAI, etc.) beyond just prompting, meaning you have integrated them into applications, managed API keys and token budgets, and handled authentication
Deployed applications using platforms like Vercel, Netlify, or similar, and managed code in GitHub with proper version control
Worked across multiple business functions (Sales, Ops, Marketing, CS) and translated their pain points into technical solutions
Demonstrated a portfolio of projects (personal or professional) where you solved complex problems using AI, showing tangible outcomes that would have traditionally required weeks of engineering effort
Managed competing priorities and stakeholder requests without a formal product org handing you a backlog
Worked with CRM and GTM tools like Salesforce and understanding how data flows (and breaks) between them
Acted as an excellent communicator, absorbing and understanding complex requirements, extrapolating the end goal and definition of success, and creatively exploring and building solutions
Possess strong interpersonal and training skills required to work hands-on with non-technical teams, ensuring they can easily adopt complex solutions, understand the underlying logic, and become self-sufficient in their use.

Benefits

Comp & perks

Health insurance
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI APIsMCP workflowsversion controlautomationAI-powered workflowsapplication deploymentAPI integrationtoken managementproblem-solvingproject management

Soft Skills

communicationinterpersonal skillscreativitystrategic thinkingcollaborationadaptabilitystakeholder managementtrainingprioritizationdocumentation