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AI Integration – Automation Developer
Logicalis GmbH. Design, develop, test, maintain, and support AI-enabled automations, integrations, and workflow solutions for Managed Services .
Tech Stack
Tools & technologiesCloudITSMJavaScriptPython
About the role
Key responsibilities & impact- Design, develop, test, maintain, and support AI-enabled automations, integrations, and workflow solutions for Managed Services
- Build AI orchestration patterns connecting systems, data, prompts, APIs, scripts, and operational workflows
- Develop reusable components, connectors, scripts, and workflow patterns
- Analyze operational pain points and identify automation opportunities
- Develop LLM-enabled workflows, agentic automation patterns, and AI-assisted operational processes with guardrails and fallback logic
- Integrate enterprise tools, monitoring platforms, ITSM systems, cloud services, and internal applications
- Troubleshoot automation defects, integration failures, and AI workflow issues
- Document solution designs, configurations, support steps, ownership, release notes, and knowledge articles
- Participate in testing, UAT, release readiness, change control, and production support
- Collaborate with engineers, service owners, process owners, developers, and stakeholders
- Stay current on AI automation, orchestration, LLM tooling, integration frameworks, and service operations trends
Requirements
What you’ll need- Bachelor's degree in computer science, information technology, software engineering, or related field, or equivalent experience
- 5+ years of experience developing automations, integrations, scripts, workflows, or application solutions in enterprise or services environments
- Hands-on experience with Python, PowerShell, JavaScript, APIs, workflow platforms, or low-code/no-code automation tools
- Experience designing or supporting AI-enabled workflows, LLM-driven processes, AI agents, orchestration patterns, or intelligent automation solutions
- Understanding of prompt design, structured outputs, human-in-the-loop patterns, guardrails, fallback logic, and production AI considerations
- Experience integrating with ITSM tools, monitoring/observability tools, cloud platforms, ticketing systems, knowledge bases, or internal business applications
- Ability to analyze business or operational processes and convert requirements into working automation solutions
- Strong troubleshooting, communication, collaboration, documentation, and critical-thinking skills
- Ability to manage multiple priorities while maintaining quality and production stability
- Certifications related to AI, automation, cloud platforms, ITIL, or service management are preferred but not required