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AI & Automation Specialist

Roles & Responsibilities

  • 3+ years of professional experience in automation, AI implementation, or related technical roles
  • Strong proficiency in Python; knowledge of JavaScript/TypeScript is an advantage
  • Hands-on experience with automation platforms such as Make.com and n8n; familiarity with other low-code/no-code platforms (e.g., Zapier, Power Automate) is a plus
  • Practical experience with AI/LLM technologies, including OpenAI API, Anthropic API, LangChain, and vector databases (Pinecone, Weaviate, Qdrant)

Requirements:

  • Design, build, and maintain workflow automations and RPA solutions using Make.com, n8n, Zapier, and Power Automate; integrate systems and APIs following interface documentation; conduct testing and QA
  • Implement AI/LLM-based applications (GPT, Claude, open-source models); build RAG/vector DB systems, prepare/structure data, and deploy AI agents and chatbots; implement prompt templates
  • Collaborate with consultants and architects; provide regular progress reports and ensure adherence to timelines and quality standards; support effort estimation and planning
  • Maintain clear and structured technical documentation for all solutions

Job description

Automation and AI Technician

A fast-growing AI education and automation consultancy based in Austria, helping coaches, consultants, solopreneurs, and small businesses adopt AI and automation in a practical and compliant way, is seeking an Automation and AI Technician to design, build, and maintain robust automation workflows for both client systems and internal operations.

Full-time: 40 hours per week
Remote: Fully remote, must be available for 8:00-12:00 CET daily overlap, while the remaining 4 hours is flexible
Engagement Type: Independent Contractor
Monthly Rate: $1600-1920
 

What You'll Be Doing:

Automation & Process Implementation

  • Design, build, and maintain workflow automations according to architectural specifications using tools such as n8n, Make, Zapier, and Power Automate.
  • Develop and manage RPA solutions based on technical requirements.
  • Integrate systems and APIs following defined interface documentation.
  • Conduct testing and quality assurance for implemented automations.
  • Perform error analysis, debugging, and continuous optimization of existing workflows.
  • Maintain clear and structured technical documentation for all solutions.

Artificial Intelligence & Data Processing

  • Implement LLM-based applications (GPT, Claude, open-source models) according to concept specifications.
  • Build RAG systems and vector databases following architecture guidelines.
  • Prepare, clean, and structure data for AI applications.
  • Deploy and configure AI agents and chatbots.
  • Implement prompt templates and AI-driven workflows effectively.

Internal Collaboration

  • Work closely with consultants and architects to clarify technical details and ensure correct implementation.
  • Provide regular reporting on implementation progress, technical challenges, and solutions.
  • Ensure adherence to project timelines and quality standards.
  • Provide proactive feedback when specifications contain ambiguities or potential technical obstacles.
  • Support effort estimation and planning for new projects.
Who You Are:
  • Minimum of 3+ years of professional experience in automation, AI implementation, or related technical roles.
  • Strong proficiency in Python; knowledge of JavaScript/TypeScript is an advantage.
  • Hands-on experience with automation platforms such as Make.com and n8n; familiarity with other low-code/no-code platforms (e.g., Zapier, Power Automate) is a plus.
  • Practical experience with AI/LLM technologies, including OpenAI API, Anthropic API, LangChain, and vector databases (Pinecone, Weaviate, Qdrant).
  • Proficiency in data processing, including JSON, REST APIs, webhooks, and relational or NoSQL databases.
  • Experience with version control systems, preferably Git, to ensure clean and maintainable code.
  • Demonstrated ability to execute projects reliably, transforming concepts into functional solutions on schedule.
  • Strong attention to detail, ensuring accuracy and adherence to specifications.
  • High degree of self-reliance, capable of completing tasks independently.
  • Structured and organized approach to managing multiple projects simultaneously.
  • Strong willingness and aptitude for learning new tools and technologies.
  • Effective team communication skills, including asynchronous collaboration with international teams.
Nice to Have: 
  • Experience in prompt engineering and LLM optimization.
  • Knowledge of Docker and containerized deployment environments.
  • Familiarity with agentic AI frameworks such as CrewAI, AutoGen, or LangGraph.
  • Experience working with remote, distributed teams across multiple time zones.
  • Experience with project management and collaboration tools, including ClickUp, Asana, or Notion.

Recruitment Process:

  1. Initial Interview (HR/Recruiter) 
  2. Test Assessment
  3. Final Interview (Client) 



 

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