AI Automation & Workflow Engineer Also placing as: AI Builder · AI Specialist · Integration Specialist · Workflow Engineer - Data Analyst A senior technical hire who builds AI-powered systems from scratch — writing code, connecting APIs, deploying agents, and making sure everything actually works in production. Field Details Sector AI Engineering · Automation · Systems Integration · Technical Operations Level Senior · 3+ years of hands-on technical experience Education Computer Science degree required (or equivalent technical degree) Coding Required — Python and/or JavaScript minimum AI Fluency Advanced — builds with AI APIs, not just uses AI tools Rate $10–13/hr USD Type Full-time · 40 hrs/week or Part time - 20 hrs/week Hours Client's business hours — time zone overlap required Location Remote · General What They Do Build Automation Systems Design and build end-to-end automation workflows using Zapier, Make, or n8n Connect platforms via REST APIs and webhooks — not just drag-and-drop integrations Write scripts (Python or JavaScript)
when no-code tools can't do the job Deploy and monitor systems so they keep running without constant attention AI & Agent Development Build AI agents using OpenAI API, Claude API (Anthropic), or similar LLM APIs Design agent logic — memory, decision trees, tool use, and context management Integrate AI into real business workflows: lead qualification, content generation, support, reporting Use RAG (retrieval-augmented generation) or memory layers when the agent needs to remember things Systems & Integrations Connect CRMs, databases, communication tools, and custom platforms via API Work with tools like Airtable, HubSpot, GoHighLevel, and similar platforms at the API level Handle data flow, error handling, and edge cases — not just the happy path Manage version control via GitHub and keep code clean and documented Documentation & Handover Write clear SOPs and technical guides that non-technical people can actually follow Train client team