Cognigy Agentic AI Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 3d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4d ago
The date the source published, not the day we noticed it (2026-10-07). Last seen at its source just now.
We have tracked this listing since 7 Oct 2026 (3 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Romania
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $137.5k–204.4k/yr
Middle 50% of 94 listings that do state pay — Engineering · all levels · Eastern Europe · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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BambooHR employer's own board first seen 3d ago · last seen just now
The listing
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