Conversational AI Engineer - Google/GECX & Code Agents

TTEC Digital; Austin, Northern (TX, KY); Hybrid; USD 135,000 - 155,000; Full time

Benefits offered by this job

Medical, dental, vision

Tax-advantaged health care accounts

Financial and income protection

Job summary

TTEC Digital, Austin-based, seeks a Conversational AI Engineer specializing in Gemini Enterprise for Customer Experience (GECX) to design, deploy, and optimize agentic workflows across a unified CX platform. You will build multi-agent architectures, write Python/TypeScript tools, and integrate with CRMs/CCaaS, while running automated tests to prevent hallucinations before production.

Join a team focused on cutting-edge AI workflows, scalable tooling, and high-quality customer experiences, with

Qualifications

• Bachelor's degree in computer science, engineering 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 and RESTful APIs.
• Experience utilizing Git-based developer workflows and CLIs for software deployment.
• Hands-on experience with Google's GECX Code Agent tooling (cxas-scrapi workspace/SDK, Python-based agent foundries).
• Knowledge of Dialogflow CX, CX Agent Studio, or similar advanced conversational frameworks.

Responsibilities

• Develop multi-agent architectures: build modular, hierarchical agent networks using CX Agent Studio and Code Agents.
• Write custom code tools and callbacks in Python or TypeScript to extend agent capabilities.
• Utilize CX Engineer CLI and tooling for static linting (cxas lint) and semantic validation (cxas llm-lint).
• Design structured agent instructions with role/constraints/taskflow syntax linking to Python tools and sub-agents.
• Program enterprise integrations with live databases, product catalogs, CRMs, and CCaaS via APIs.
• Automate quality and evaluation with golden-scenario tests and simulations to prevent hallucinations before production.

Skills

Python

TypeScript

GECX Code Agent tooling

RESTful APIs

CLI tooling

Dialogflow CX

Google Cloud

BigQuery

JSON payloads

Git workflows

Education

Bachelor's degree in computer science, engineering or equivalent

Tools

cxas-scrapi

Git CLI

BigQuery

Google Cloud Logging

cxas workspace/SDK

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).

You will use Customer Experience Agent Studio (CX Agent Studio) to build multi-agent applications, but your core focus will be implementing Code Agents—leveraging 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.

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 (<role>, <constraints>, <taskflow>) 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.

$135,000 - $155,000 a year

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This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels.

Benefits available to eligible employees include the following:

• Medical, dental, vision
• tax-advantaged health care accounts
• financial and income protection benefits
• paid time off (PTO) and wellness time off.

About Us

TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.

We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.

TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.

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