AI Systems Engineer – Forward-Deployed Builder
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Job Description
AI Systems Engineer involved in building complex systems and products at a fast-paced AI company. A role focused on deconstructing workflows, building agentic systems, with autonomy and ownership.
Responsibilities:
- Deconstruct messy real-world workflows — sales ops, marketing ops, product ops, fulfillment, support — into their underlying steps.
- Build agentic systems that ship value — agents, automations, internal tools, data pipelines, reporting/attribution.
- Build product — stand up and rebuild complex products fast.
- Own the unglamorous plumbing — the integrations, the data model, the tracking.
- Reason commercially — figure out why a funnel, campaign, or product isn't working from first principles.
Requirements:
- Evidence you build things you drive — agents, automations, tools, a product you started, or something significant you initiated and pushed through at a job.
- Hands-on depth with agentic / AI engineering — building with LLMs and agent frameworks, not just prompting a chatbot.
- Experience in the info-product, agency, or DTC/GTM world.
- GTM engineering / automation — n8n (strongly preferred), or Make/Zapier with genuinely complex builds.
- Comfort with APIs, webhooks, JSON, and a real coding language (JS/Python/TS).
Benefits:
- No budget cap for tokens and no babysitting.
- A real engineering org and a brilliant CTO to build alongside.
- Frontier work, not maintenance.
- Autonomy and ownership.
- Top-of-market pay, paid properly and paid on time.
- No politics.
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