Design, deploy, and optimize next-generation, customer-facing agentic workflows.
Work on a unified platform bridging digital discovery and customer operations.
Use Customer Experience Agent Studio (CX Agent Studio) to build multi-agent applications.
Implement Code Agents leveraging programmatic SDKs.
Write custom Python/TypeScript tool callbacks.
Utilize localized CLI workflows to structure, lint, test, and sync complex agent hierarchies.

Bachelor’s degree in computer science, engineering field, or equivalent practical experience.
3+ years of experience building conversational AI solutions, virtual agents, or programmatic AI workflows.
Strong proficiency in Python or TypeScript/Node.js, with hands-on experience handling complex JSON payloads, RESTful APIs, and cloud-hosted webhooks.
Experience utilizing Git-based developer workflows and command-line interfaces (CLIs) for software versioning and deployment.
Hands-on experience building with Google’s GECX Code Agent tooling (e.g., cxas-scrapi workspace/SDK, Python-based agent foundries).
Good technical understanding of Dialogflow CX, CX Agent Studio, or similar advanced, stateful conversational frameworks.
Experience deploying streaming, low-latency audio-to-audio (A2A) voice agents and integrating with telephony (SIP/RTP) or CCaaS partner environments.
Solid grasp of prompt engineering safety protocols, blocklists, and programmatic fallback behaviors (e.g., before_model_callback or after_tool_callback hooks).
Experience with BigQuery or Google Cloud Logging to programmatically extract conversation traces, search text transcripts, and build data-driven performance metrics.

Conversational AI Engineer

Key skills