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 $1213/hr USD max TBD
Type Full-time 40 hrs/week or Part time - 20 hrs/week
Hours Clients business hours time zone overlap required
Location Remote Global
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 cant 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 teams to use and maintain what was built
Make sure nothing is a black box every system has documentation
AI Tools in Daily Work
LLM APIs: OpenAI (GPT-4o) Anthropic (Claude) Mistral Gemini for building agents and AI
features
Automation: n8n Zapier Make with custom code steps and API connections
Vector databases: Pinecone Weaviate Chroma for RAG and memory systems
Dev tools: GitHub VS Code Postman for building testing and version control
Cloud: AWS Lambda Google Cloud Functions or similar for deploying lightweight agents
AI coding assistants: GitHub Copilot Cursor Claude for coding to build faster
Data: Airtable Google Sheets API SQL basics for managing structured data
Monitoring: simple logging error alerts uptime checks to keep systems healthy
Requirements
Computer Science degree or equivalent technical degree required
3 years of hands-on experience in software development automation engineering or AI systems
Proficient in Python and/or JavaScript writes and debugs code independently
Hands-on experience with REST APIs webhooks and authentication (OAuth API keys)
Experience building with LLM APIs (OpenAI Anthropic/Claude or similar) in real projects not
just prompting tools
Hands-on experience with at least one automation platform: n8n Zapier or Make
Strong written English technical documentation reviewed at screening
Advanced AI fluency AI is embedded in how they design build and ship systems
Available during client business hours time zone overlap required
Preferred
Experience with GoHighLevel (GHL) at the API or workflow level
RAG experience retrieval-augmented generation vector databases or persistent memory
GitHub portfolio or demo showing an AI agent or automation built and running in production
Experience in a client-facing agency or embedded role
Background in fitness tech SaaS or service business operations understands real business
context
Familiarity with cloud infrastructure (AWS GCP or Azure) for deploying lightweight agents
Tools & Platforms
LLM APIs: OpenAI (GPT-4o) Anthropic Claude API Gemini Mistral
Automation: n8n Zapier Make (Integromat)
Languages: Python JavaScript ()
APIs & integration: REST APIs webhooks OAuth Postman
Vector / memory: Pinecone Weaviate Chroma or similar
CRM / ops tools: GoHighLevel HubSpot Airtable at API level
Dev tools: GitHub VS Code Cursor GitHub Copilot
Cloud: AWS Lambda Google Cloud Functions or similar
Communication: Slack Zoom Google Workspace
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 produc...
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 $1213/hr USD max TBD
Type Full-time 40 hrs/week or Part time - 20 hrs/week
Hours Clients business hours time zone overlap required
Location Remote Global
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 cant 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 teams to use and maintain what was built
Make sure nothing is a black box every system has documentation
AI Tools in Daily Work
LLM APIs: OpenAI (GPT-4o) Anthropic (Claude) Mistral Gemini for building agents and AI
features
Automation: n8n Zapier Make with custom code steps and API connections
Vector databases: Pinecone Weaviate Chroma for RAG and memory systems
Dev tools: GitHub VS Code Postman for building testing and version control
Cloud: AWS Lambda Google Cloud Functions or similar for deploying lightweight agents
AI coding assistants: GitHub Copilot Cursor Claude for coding to build faster
Data: Airtable Google Sheets API SQL basics for managing structured data
Monitoring: simple logging error alerts uptime checks to keep systems healthy
Requirements
Computer Science degree or equivalent technical degree required
3 years of hands-on experience in software development automation engineering or AI systems
Proficient in Python and/or JavaScript writes and debugs code independently
Hands-on experience with REST APIs webhooks and authentication (OAuth API keys)
Experience building with LLM APIs (OpenAI Anthropic/Claude or similar) in real projects not
just prompting tools
Hands-on experience with at least one automation platform: n8n Zapier or Make
Strong written English technical documentation reviewed at screening
Advanced AI fluency AI is embedded in how they design build and ship systems
Available during client business hours time zone overlap required
Preferred
Experience with GoHighLevel (GHL) at the API or workflow level
RAG experience retrieval-augmented generation vector databases or persistent memory
GitHub portfolio or demo showing an AI agent or automation built and running in production
Experience in a client-facing agency or embedded role
Background in fitness tech SaaS or service business operations understands real business
context
Familiarity with cloud infrastructure (AWS GCP or Azure) for deploying lightweight agents
Tools & Platforms
LLM APIs: OpenAI (GPT-4o) Anthropic Claude API Gemini Mistral
Automation: n8n Zapier Make (Integromat)
Languages: Python JavaScript ()
APIs & integration: REST APIs webhooks OAuth Postman
Vector / memory: Pinecone Weaviate Chroma or similar
CRM / ops tools: GoHighLevel HubSpot Airtable at API level
Dev tools: GitHub VS Code Cursor GitHub Copilot
Cloud: AWS Lambda Google Cloud Functions or similar
Communication: Slack Zoom Google Workspace
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