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
Summary
Migrate an existing Cognigy low-code customer solution to a fully agentic architecture using agent-based dialog flows, autonomous orchestration, and multi-agent tool-use patterns. Requires proven hands-on Cognigy Agentic AI project experience and solid understanding of conversational AI architectures.
Responsibilities
Move existing Cognigy low-code customer solution toward fully agentic architecture including agent-based dialog flows and autonomous task orchestration
Qualifications
Proven, hands-on experience with Cognigy's Agentic AI / AI Agent capabilities; Solid understanding of modern conversational AI and agent architectures; Working knowledge of Cognigy.AI core building blocks
Experience requirements
Real project experience moving a Cognigy-based solution from traditional low-code flows toward an agentic architecture