AI Summary
Design, build, and maintain automation workflows for clients and internal operations. Implement AI and data processing solutions using LLM-based applications and RAG systems. Collaborate with consultants and architects to ensure correct implementation.
Key Highlights
Automation and AI implementation
Workflow design and maintenance
Collaboration with consultants and architects
Key Responsibilities
Design, build, and maintain workflow automations according to architectural specifications
Implement LLM-based applications according to concept specifications
Conduct testing and quality assurance for implemented automations
Technical Skills Required
Benefits & Perks
$1600-$1920 monthly rate
Fully remote work
Flexible work hours
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
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
- 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
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- 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
- 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
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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
- Initial Interview (HR/Recruiter)
- Test Assessment
- Final Interview (Client)
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