Cognigy Agentic AI Engineer
Job description
We are looking for an external AI Engineer with proven, hands-on experience in Cognigy's Agentic AI/ AI Agent capabilities. The client already operates an existing customer solution built on Cognigy low-code and is now moving this solution toward a fully agentic architecture.
Requirements
Proven, hands-on experience with Cognigy's Agentic AI / AI Agent capabilities, e.g., agent-based dialog flows, autonomous task orchestration, multi-agent/tool-use patterns within the Cognigy platform Real project experience moving a Cognigy-based solution from traditional low-code flows toward an agentic architecture (not just theoretical knowledge) Solid understanding of modern conversational AI and agent architectures in general Nice to have: Working knowledge of Cognigy.
AI core building blocks (Flow Builder, Intents, Entities, Contexts) as a foundation for the agentic work LLM integration (GPT, Azure OpenAI) and prompt engineering for agentic use cases Custom Code Nodes (JavaScript/TypeScript or similar — language itself is not a deciding factor) REST API integration and enterprise system connectivity (e.
g., Salesforce, Genesys) Conversational flow design, testing, and performance monitoring
Description copied from CGF Counsel Group Frankfurt's careers page. Read the full posting before you apply.
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