AI Automation Engineer, In-House MarTech Video SaaS

Required Qualifications

• You’re able to choose the right tool for the job. Which AI tool, LLM, agent is the best answer you can figure out wihtout endless tinkering. You care whether the work gets faster, cheaper, or better, not whether it uses the trendy thing.
• You've already shipped this kind of work in production. This is not a learn on the job role nor is it for the hobbiest. We expect real results, right away. We’re already doing all of this ourselves but need an expert level person to take ownership.
• AI is a young field, so we expect only a few years of hands on AI experience, but it has to sit on top of strong, relevant broader engineering experience, and you must have built and run real AI systems that other people depend on.
• You can actually code, and not just with Claude lol. You're comfortable with databases, APIs, and MCP, wiring systems together for real, not just clicking boxes.
• You build evals and observability by default. You measure, monitor, trace, and control cost as a matter of habit.
• You hold a production grade reliability bar. You ship systems that keep working for months, not demos that impress once and break the next day.
• A ready to show portfolio, or concrete examples of what you've built and the results it delivered.
• Your working hours overlap strongly with US Eastern time. We can discuss further.
• You’re not token-wise, prompt foolish.
• You're fluent across the frontier models, (Claude is our primary, ideally it is yours), and you know which model to reach for and why (cost, latency, context, reliability, specific use cases, etc.).
• You use tools like Claude Code and Claude Cowork daily, and not just a prompt
• You're comfortable with AI native hosting and deployment, for example Vercel.
• You're hands on with automation tools like n8n and Zapier, and you know when to drop them and write custom orchestration instead.
• You ground AI outputs in real data with retrieval / RAG so they're accurate and don't hallucinate.
• Most of your availabe working hours overlaps (or can) w/ the Eastern US time zone.
• You’re a passionate tinker who loves this field and playing with new tech, but you can also shut down your internal shiny ball syndrome and GSD (get shit done).
• You translate between business problems and AI systems. You ask the right questions, fill the gaps, and turn messy business needs into working automations.
• You’re organized. You speak ROI. You’re familiar with marketing, sales and customer success workflows in particular as well as other functions of a modern tech company.
• You're biased toward shipping fast. You deliver in small, valuable chunks that compound.
• You're loyal to outcomes, not hype. You don't care how cool the tech is. You care whether it saved time, made money, or removed a human bottleneck.
• You measure everything. Evals, cost, latency, reliability. If it isn't measured, it isn't real.
• You thrive on vague specs and can coordinate the rapid ideas of a choatic visionary. You can talk out ideas, bring structure to projects and don’t need everything spoon fed to you or spec’ed out in pretty user stories.