Conversational AI Engineer - Google/GECX & Code Agents

TTEC Digital; Colombia; On-site; COP 283,921,000 - 410,108,000; Full time

Job summary

TTEC Digital seeks a Conversational AI Engineer specializing in Gemini Enterprise for Customer Experience (GECX) to design, deploy, and optimize agentic workflows across chat, voice, and retail touchpoints.

You will build modular agent networks, write Python/TypeScript tools, and integrate with databases and CRMs, ensuring scalable, low-latency, safe conversational automation.

Qualifications

• Bachelor's degree in computer science, engineering, or related field.
• 3+ years building conversational AI solutions.
• Proficiency in Python or TypeScript/Node.js with JSON payloads, RESTful APIs.
• Experience with Git-based workflows and CLIs for deployment.
• Hands-on with Google's GECX tooling (cxas-scrapi workspace/SDK, Python tools).
• Knowledge of Dialogflow CX or CX Agent Studio.
• Experience deploying voice agents and CCaaS integrations.
• Understanding of prompt engineering safety and fallback behaviors.
• Experience with BigQuery or Google Cloud Logging.

Responsibilities

• Develop multi-agent architectures using CX Agent Studio and Code Agents.
• Write custom code tools & callbacks in Python or TypeScript.
• Use GECX CLI & tooling for linting and semantic validation.
• Design playbooks and control flows with agent routing syntax.
• Integrate Code Agents with live databases, CRMs, and CCaaS networks.
• Create automated tests and evaluation workflows to prevent hallucinations.

Skills

Conversational AI

Python/TypeScript

APIs & Webhooks

Git workflows

GECX tooling

Dialogflow CX

Voice agents

Prompt safety

BigQuery logging

Education

Bachelor's degree in CS or related

Tools

cxas CLI

cxas-scrapi

OpenAPI webhooks

CCaaS integrations

Job description

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.
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).

What you'll be doing:

• 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: custom_script}) and sub-agent routing syntax ({@AGENT: specialized_subagent})
• 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

Skills and experience you will bring:

• 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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.