AI Automation & Workflow Engineer

Location: Remote · Global; conditions list Tirana, Albania. Availability during client business hours and time zone overlap are required.

Salary: $12–13 per hour. Full-time and part-time arrangements are available.

Company

AI engineering, automation, systems integration, and technical operations work focused on building AI-powered business systems.

What you will do

• Design and build end-to-end automation workflows with n8n, Zapier, Make, REST APIs, webhooks, and custom Python or JavaScript code.
• Develop AI agents with OpenAI, Anthropic, Mistral, Gemini, or similar LLM APIs, including memory, decision trees, tool use, and context management.
• Integrate CRMs, databases, communication tools, and custom platforms such as GoHighLevel, HubSpot, and Airtable.
• Deploy, monitor, and troubleshoot production systems, including data flows, authentication, error handling, logging, and uptime checks.
• Use vector databases and RAG or memory layers where agents need persistent knowledge.
• Document systems through SOPs and technical guides and train client teams to maintain them.

Requirements

• Computer Science or equivalent technical degree.
• At least 3 years of hands-on experience in software development, automation engineering, or AI systems.
• Independent coding and debugging skills in Python and/or JavaScript.
• Practical experience with REST APIs, webhooks, OAuth, API keys, and at least one of n8n, Zapier, or Make.
• Experience building real projects with LLM APIs such as OpenAI or Anthropic Claude.
• Strong written English, availability during client business hours, and required time zone overlap.

Nice to have

• GoHighLevel API or workflow experience.
• RAG, vector database, or persistent memory experience.
• GitHub portfolio or a production AI agent or automation demo.
• Client-facing, agency, embedded, fitness tech, SaaS, or service business experience.
• Cloud deployment experience with AWS, GCP, or Azure.

Culture & Benefits

• Remote work with full-time 40-hour or part-time 20-hour schedules.
• Daily use of AI coding assistants and development tools such as GitHub Copilot, Cursor, Claude for coding, VS Code, and Postman.
• Work with cloud functions, vector databases, automation platforms, APIs, and structured data tools.
• Emphasis on maintainable systems, clear documentation, monitoring, and avoiding black-box implementations.