AI Automation Engineer (LLM & System Integrations)

• Design, implement, and maintain automation workflows
• Build end-to-end integrations between internal and external systems
• Work with REST APIs, including request/response handling and authentication
• Process, transform, and validate data in various formats
• Implement logic for filtering, mapping, aggregation, branching, and error handling within workflows
• Configure and consume webhooks and event-driven integrations
• Work with databases to read, write, and update data using SQL, Spark or GraphQL queries
• Connect workflows to Large Language Models and design suitable prompts
• Monitor, debug, and optimize workflow executions to ensure reliability and performance
• Collaborate with business stakeholders and analysts to translate requirements into technical automation solutions
• Create and maintain technical documentation for workflows and integrations
• Identify opportunities for automation and continuous process improvement

• Fluent written and spoken English, German is an advantage
• Education in an IT-related field is an advantage
• 3y+ experience in automating business processes based on ERP or CRM systems on a production-scale
• Programming skills in Python or Javascript for implementing custom logic in workflows
• Experience with REST APIs and common integration patterns
• Understanding of control flow and error handling in workflow automation tools
• SQL, Spark, or GraphQL query experience
• Strong analytical, algorithmic, and systematic thinking
• Ability to work independently and deliver working solutions quickly
• Proactive mindset — you take initiative, ask questions, and suggest improvements
• Ability to explain technical solutions to non-technical colleagues
• Willingness to work in an agile environment (Scrum, Kanban)

Nice to have:

• Experience with n8n or other automation platforms (zapier, make, etc.)
• Experience in building and scaling solutions for automating business processes with the help of other Agentic AI frameworks
• Basic knowledge of cloud platforms (GCP, Azure)
• Experience with file-based integrations (SFTP, scheduled file ingestion)
• Awareness of security, access control, and data privacy in system integrations
• Experience working in international or distributed teams