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 AgentsWrite 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 promptsLeverage 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 webhooksAutomate 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-prodSkills and experience you will bring:Bachelor's degree in computer science, engineering field, or equivalent practical experience3+ years of experience building conversational AI solutions, virtual agents, or programmatic AI workflowsStrong proficiency in Python or TypeScript/Node.Js, with hands-on experience handling complex JSON payloads, RESTful APIs, and cloud-hosted webhooksExperience utilizing Git-based developer workflows and command-line interfaces (CLIs) for software versioning and deploymentHands-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 frameworksExperience deploying streaming, low-latency audio-to-audio (A2A) voice agents and integrating with telephony (SIP/RTP) or CCaaS partner environmentsSolid 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 metricsWe 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.#J-18808-Ljbffr

📌 Conversational Ai Engineer - Google/Gecx & Code Agents (Colombia)
🏢 TTEC Digital
📍 Colombia