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AI Integration & Automation Developer

Job not on LinkedIn

🕒 September 25

🇺🇸 United States – Remote

💵 $77.5k - $100k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 QA Automation Engineer

Where this job comes from

Posted on Logicalis GmbH's careers page, not through a job board

First seen by Remote Rocketship September 25

Still open on Logicalis GmbH's site. Checked 10 hours ago.

Logo of Logicalis GmbH

Logicalis GmbH

201 - 500 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Logicalis GmbH is a service-oriented IT solutions and Managed Services provider, focusing on network and data center technology, as well as Unified Communications & Collaboration and Application & Information Management. With around 250 employees across seven locations, it generates approximately 185 million Euros in revenue in Germany. Inforsacom Logicalis is part of the globally operating Logicalis Group.

📋 Description

• 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 solutions that reduce manual work, improve service delivery speed and consistency, and create measurable cost avoidance • Create reusable components, connectors, scripts, and workflow patterns for multiple use cases • Support internal AI Orchestration capabilities and related automation services • Analyze operational pain points and select AI, automation, integration, process improvement, or combined solutions • 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; implement durable fixes • Document solution design, configuration, support steps, ownership, and knowledge articles • Participate in testing, UAT, release readiness, change control, and production support • Collaborate with engineers, service owners, process owners, developers, and stakeholders to understand requirements and validate outcomes • Communicate technical concepts to technical and non-technical audiences • Stay current on AI automation, orchestration, LLM tooling, integration frameworks, and service operations trends • No supervisory responsibilities; may receive dotted-line technical guidance and collaborate with developers, engineers, and process owners

🎯 Requirements

• 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 skills and ability to identify root causes, evaluate trade-offs, and implement sustainable fixes • Strong communication and collaboration skills across technical and operational teams • Managed Services operations, ITIL practices, or service management processes preferred • Cloud environments such as Azure, AWS, or GCP preferred • Data pipelines, vector databases, embeddings, event-driven workflows, or containerized environments are a plus • AI, automation, cloud, ITIL, or service management certifications preferred but not required • Critical thinking, curiosity about emerging AI automation practices, outcome orientation, documentation discipline, and ability to manage multiple priorities

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