Live opening · Posted 6 days ago

Cognigy Agentic AI Expert - AI Engineer

İK Kampüsü | İnsan Kaynakları ve Kariyer Danışmanlık Hizmetleri · Germany (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 6 days ago
CompanyİK Kampüsü | İnsan Kaynakları ve Kariyer Danışmanlık Hizmetleri
LocationGermany (Remote)
Work modeYes
SkillsPython, JavaScript, TypeScript, Azure
SourceLinkedin
ListedPosted 6 days ago

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About the role

Description supplied by the original job listing.

We are looking for an experienced AI Engineer with hands-on expertise in Cognigy's Agentic AI / AI Agent capabilities to lead a key architectural evolution for our client!
Our client currently operates a solution built on Cognigy low-code and is now transitioning it toward a fully agentic architecture. We are specifically looking for someone with real-world implementation experience building agentic solutions on Cognigy—beyond traditional flow-based bot configurations.
⚡ Key Details:
• Start Date: ASAP
• Duration: 1 Year +
• Location: 100% Remote (German timezone compatible)
• Working Language: English
💡 Role & Scope:
• Transition an existing Cognigy-based enterprise solution toward a fully agentic architecture.
• Design and implement agent-based dialog flows, autonomous task orchestration, and multi-agent/tool-use patterns within the Cognigy platform.
• The choice of programming language (JavaScript, Python, etc.) is secondary—what matters is demonstrable, practical know-how in designing agent orchestration on Cognigy.
📌 Must-Have Qualifications:
• Proven, hands-on experience with Cognigy's Agentic AI / AI Agent capabilities (e.g., agent-based diyalog flows, autonomous task orchestration, multi-agent/tool-use patterns).
• Real project experience moving a Cognigy-based solution from traditional low-code flows to an agentic architecture (theoretical knowledge alone is not sufficient).
• Solid understanding of modern conversational AI and agent architectures in general.
🌟 Nice-to-Have Skills:
• Working knowledge of Cognigy.AI core building blocks (Flow Builder, Intents, Entities, Contexts) as a foundation for agentic work.
• LLM integration (GPT, Azure OpenAI) and prompt engineering for agentic use cases.
• Custom Code Nodes (JavaScript/TypeScript or similar).
• REST API integration and enterprise system connectivity (e.g., Salesforce, Genesys).
• Conversational flow design, testing, and performance monitoring.

Work arrangement
Yes

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