AI Automation Engineer

TicketManager•Calabasas, CA

1d•$95,000 - $125,000•Onsite

About The Position

TicketManager is building its AI and automation infrastructure from the ground up, and we are looking for a partner to build it with. As an AI Automation Engineer, you will work directly with the VP of Enterprise Technology & AI Strategy to turn AI strategy into working systems: n8n workflows, MCP servers, LLM integrations, chat and voice agents, and AI-driven engineering automation that makes the whole team faster. This is not a role with a fully written roadmap. Requirements are fluid, projects range from a one-afternoon automation to a multi-month platform build, and the technology changes monthly. You will break things and fix them faster, stay endlessly curious, and set your own priorities. When the first three approaches fail, you find the fourth, because we believe there is always a way. Your work will directly shape how TicketManager operates, serves customers, and scales.

Requirements

Bachelor's Degree required; MS in Computer Science, Engineering, MIS, or a relevant field is preferred
1-3 years of hands-on experience in automation engineering, systems integration, or a closely related technical role
Hands-on experience with AI CLI tools such as Claude Code, Codex, or similar, and with code automation and AI-assisted code review and QA
Real experience with n8n, Make, Zapier, or comparable orchestration tools, plus working knowledge of REST APIs, webhooks, and JSON
Familiarity with LLM APIs (Claude, Gemini, or similar) and prompt engineering fundamentals
A track record of solving problems nobody handed you a clean answer for; comfortable with fluid requirements and setting your own priorities
Strong communication skills: you can present an idea and persuade others to adopt a technology or approach
Visible evidence of constant learning, such as side projects and experiments you built to teach yourself

Nice To Haves

Experience with MCP (Model Context Protocol), or building chat and voice agents (VAPI, Deep Chat, assistant-ui, or similar)
Python or JavaScript, CI/CD and release automation (GitHub Actions or similar), AWS or Azure data lakes, RAG and vector databases

Responsibilities

Build, maintain, and measure workflow automations in n8n across CRM, ERP, support, and fulfillment systems, from first prototype through stable production
Build, maintain, and measure custom MCP servers that connect Claude and other models to internal systems and data
Build and manage integrations with Claude, Gemini, and other model APIs, including prompt engineering and structured outputs
Design agentic workflows where AI takes multi-step actions autonomously, and instrument them so we know when they work and when they don't
Build and maintain voice and chat agents for sales and support, and own the development of a full in-app chatbot
Use AI CLI tools such as Claude Code and Codex daily, and automate code review, testing, QA, and release pipelines
Work with data lakes on AWS and Azure to keep AI systems fed with clean, current data, with security (credential handling, access scoping, audit logging) as a default
Define success metrics before every pilot, track cost, performance, and adoption, and kill what doesn't work fast
Evaluate new models and tools as they appear, and recommend when to adopt, switch, or skip
Present your work to leadership and cross-functional teams, make the case for the technologies you believe in, and help non-technical colleagues put them to use