Conversational AI Engineer GoogleGECX & Code Agents
Austin, TX - USA
Job Summary
As a Conversational AI Engineer specializing in Gemini Enterprise for Customer Experience (GECX) you will design deploy and optimize next-generation customer-facing agentic workflows. You will work on a unified platform that bridges the gap between digital discovery (via Google Search and Maps) and front-line customer operations (chat voice and retail/commerce touchpoints).
You will use Customer Experience Agent Studio (CX Agent Studio) to build multi-agent applications but your core focus will be implementing Code Agentsleveraging programmatic SDKs (such as cxas-scrapi) writing custom Python/TypeScript tool callbacks and utilizing localized CLI workflows to programmatically structure lint test and sync complex agent hierarchies. You will merge the speed of low-code visual canvas building with the absolute determinism of custom-coded logic.
- Develop Multi-Agent Architectures: Build and configure modular hierarchical agent networks (Root/Steering agents and targeted Sub-agents) using a combination of the CX Agent Studio canvas and programmatic Code Agents.
- Write Custom Code Tools & Callbacks: Program specialized backend logic data transformation scripts and custom tool callbacks in Python or TypeScript to extend agent capabilities beyond basic natural language prompts.
- Leverage GECX Engineering CLI & Tooling: Run automated code-first developer workflows utilizing uv environments and the cxas CLI for structural static linting (cxas lint) and advanced semantic instruction validation (cxas llm-lint).
- Design Generative Playbooks & Control Flows: Author and maintain structured XML-like agent instructions (
) that natively hook into custom Python tools (@TOOL: customscript) and sub-agent routing syntax (@AGENT: specializedsubagent). - Program Enterprise Integrations: Seamlessly hook Code Agents into live databases product catalogs CRMs and CCaaS networks (e.g. Genesys Avaya) via Model Context Protocol (MCP) or secure OpenAPI webhooks.
- Automate Quality & Evaluation (CI/CD): Script programmatic golden-scenario test cases and simulation evals using simulation frameworks to test multi-turn agent trajectories preventing hallucinations and conversational regressions before sync-to-prod.
- Bachelors 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/ 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 Googles 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. beforemodelcallback or aftertoolcallback hooks).
- Experience with BigQuery or Google Cloud Logging to programmatically extract conversation traces search text transcripts and build data-driven performance metrics.
Required Experience:
Unclear Seniority
About Company
We believe that humanity and technology should âco-exist, and that at the nexus of the âmost powerful experiences, humanity and technology collide. At TTEC Digital, we combine the expertise, innovation, partnerships, and passion of three industry-leading customer experience com ... View more